เงื่อนไขการค้นหา

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Leadership Skill, Python, Cloud Computing, Git, Thai

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The Senior AI Engineer owns the enterprise LLM platform substrate that powers every generative-AI consumer across the organisation. This role designs, builds, and operates the LLM Gateway, the evaluation framework, and the AI best-practices playbook that engineers, business teams, and product squads depend on to ship trustworthy AI features at scale.
• Design, build, and operate the enterprise LLM Gateway - provider abstraction, authentication, rate limiting, per-use-case cost tracking, prompt logging for audit, and model routing across major providers (Azure OpenAI, AWS Bedrock, Anthropic, Vertex AI).
• Operationalise an evaluation framework (Langfuse or equivalent) - tracing, eval scores, human feedback loops - as a platform service consumed by every production GenAI consumer.
• Define and enforce evaluation rubrics (accuracy, groundedness, hallucination rate, latency, cost per inference) and embed regression gates in CI so no GenAI consumer ships without a working eval harness.
• Ship and operate the GenAI cost dashboard with per-use-case attribution and quarterly forecasts to leadership; drive cost-optimisation initiatives (caching, prompt compression, model routing).
• Partner with Data Governance on AI-model governance evidence (audit-log schema, PII redaction proofs, model routing controls) to support legal and compliance approvals for GenAI at scale (Thailand PDPA, regional AI frameworks).
• Partner with platform engineering on Vector Search and embedding model selection, retrieval relevance tuning, chunking strategies, and reranker layers.
• Author and publish the AI Best Practices Playbook - the standard engineering teams across the company use when shipping LLM features; mentor and review.
• Own GenAI platform service-level objectives - availability, latency, cost ceilings - and lead incident response for production GenAI consumers.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related discipline.
• 6+ years of software engineering with at least 2+ years shipping production LLM platform systems (gateways, evaluations, cost metering, multi-model routing).
• Strong Python production-service development (FastAPI, async, observability, tests).
• Hands-on production experience with at least one major LLM provider (Azure OpenAI, AWS Bedrock, Anthropic, Vertex AI), including cost and latency optimisation.
• Eval-driven LLM development discipline - golden sets, LLM-as-judge, regression gates in CI, multi-step conversation replay.
• Solid grounding in prompt-injection defence, data-leakage prevention, and PII handling for LLM systems.
• Cloud production experience (Azure preferred; AWS/GCP transferable) and Git-based CI/CD; comfortable owning service contracts and SLOs.
• Excellent written and verbal communication; able to author technical design documents and influence engineering peers and business stakeholders.
• Preferred.
• Experience with LLM gateways (Portkey, LiteLLM, Kong AI) or having built one in-house.
• Fine-tuning experience (LoRA / QLoRA) and open-weight model deployment (vLLM, TGI).
• Thai-language NLP exposure (PyThaiNLP, WangchanBERTa, SEA-LION, Typhoon) and retail / commerce data context (POS, catalog, CRM, loyalty).
• Vendor or industry certifications such as Databricks Generative AI Engineer, Azure AI Engineer Associate, or comparable.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/80CF89BC1F/apply).

ทักษะ:

Power BI, Kafka, Cloud Computing, Git, SQL

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• We are seeking an experienced.
• Senior Data Engineer.
• to own the pipeline-standardization and data-quality program for the enterprise lakehouse. This role ships compliance gates that block non-compliant deployments, stands up the data-quality framework, builds the dashboards business users trust, and drives measurable reductions in data incidents across the retail data estate.
• Design, ship, and operate a pipeline-compliance checker that validates naming, metadata, config schema, DQ-rule declarations, and cluster-policy reference on every new deployment.
• Deploy a data-quality framework (Great Expectations, Databricks DQ Rules, or equivalent) across new production pipelines; build a domain onboarding template; configure alert routing by severity.
• Build and publish the Data Quality Dashboard - quality health by domain, source, table; near-real-time refresh; freshness, completeness, accuracy.
• Establish Source Change Management agreements with key source systems (SLA contracts, change-request process, automated schema-change alerting); map source lineage end-to-end.
• Lead the migration playbook to bring the legacy pipeline estate to standard; mentor engineers executing migration; own the playbook, not every migration.
• Drive data-incident reduction through prevention (compliance gate, DQ framework, DCM, lineage), not reactive firefighting; lead incident response and post-mortems for major DQ failures.
• Partner with platform engineering on Event Stream domain-event schemas and data-product contracts.
• Author runbooks, code review at senior level, and contribute to engineering culture.
• Bachelor's degree in Computer Science, Data Engineering, or a related discipline.
• 5+ years designing, building, and operating production data pipelines on a major lakehouse or warehouse (Databricks, Snowflake, BigQuery).
• Strong PySpark and SQL; understands Spark performance tuning at production scale.
• Deep experience with data-quality frameworks (Great Expectations, dbt tests, Soda, Monte Carlo) - has defined SLAs, set thresholds, tuned alert noise.
• Built and operated medallion / multi-layer lakehouse architectures with explicit transformation layers.
• Solid Git / CI experience for data code; opinions on testing data transformations.
• Comfortable defining and enforcing standards (naming, partitioning, retention, PII tagging) and reviewing PRs against them.
• Cloud platform experience (Azure preferred; AWS / GCP transferable).
• Preferred.
• Streaming experience (Spark Structured Streaming, Delta Live Tables, Flink, Kafka Streams).
• Data modeling discipline (Kimball, Data Vault 2.0) with clear rationale; Unity Catalog production experience (lineage, tags, RLS).
• Retail data exposure - POS, inventory, replenishment, loyalty - and BI optimization for Power BI consumption.
• Vendor certifications such as Databricks Data Engineer Professional or Azure Data Engineer Associate.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/2056DE169C/apply).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Power BI, Python, Git, Customer Relationship Management (CRM)

ประเภทงาน:

งานประจำ

• Data Stewardship & Integrity (Processing).
• Data Cleaning: Lead routine data cleaning initiatives for EAP countries to ensure high-quality inputs for Commercial tools and reporting.
• Access Governance: Support the SFE Mathods Manager & Commercial Data Specialist in managing data access governance and user permissioning for local entities.
• Issue Identification: Proactively spot potential data gaps or system errors before they impact end-users, developing interim solutions where necessary.
• Performance Reporting & Monitoring (Activation).
• KPI Tracking: Automate and run regular reports to monitor Behaviour KPIs (touchpoints, pipeline health) and Performance KPIs (Churn, Price Impact, C2P).
• Tool Transition: Assist in the transition from legacy Excel-based tracking to Power BI dashboards.
• Performance Trends: Analyze and flag performance trends to the SFE Methods Manager to support strategic decision-making.
• Local Country Support & Adoption (Change Management).
• Onboarding: Support the onboarding of new sales team members by providing training support to SFE Performance Coaches on commercial tools and best practices.
• User Support: Support the BPO and local entities regarding SFE tool enhancements and system updates.
• Documentation: Support SFE Methods Manager om maintain and update SFE playbooks, standard operating procedures (SOPs), and training resources to ensure regional harmonization.
• Continuous Improvement & Agility.
• Process Standardization: Collaborate with cross-functional groups to drive alignment and standardization of commercial processes.
• Innovation: Embrace new technologies (e.g., Gemini/AI) to enhance productivity in daily workflows and data analysis.
• Are you a MATCH?.
• 0-2 years of experience in a commercial, analytical, or IT support role. Prior exposure to CRM systems and/or PowerBI is a plus.
• Bachelor in Business, Engineering, Finance, IT or related field.
• Specific Training or Certification: AL AI readiness (Statistics, Python, Git, Basic ML).
• GDO Power BI level 4 certification + PBI Premium ML Ops.
• We thank you for your interest in Air Liquide. Interested applicants are encouraged to send a detailed resume, including reasons for leaving past employment. Please be informed that only shortlisted candidates will be notified.
• About Air Liquide.
• A world leader in gases, technologies and services for Industry and Health, Air Liquide is present in 78 countries with approximately 64,500 employees and serves more than 3.8 million customers and patients. Oxygen, nitrogen and hydrogen are essential small molecules for life, matter and energy. They embody Air Liquide's scientific territory and have been at the core of the company's activities since its creation in 1902.
• Our Differences make our Performance.
• At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
• We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

ทักษะ:

Power BI, Tableau, Python, Git, English

ประเภทงาน:

ฝึกงาน

• Develop an application that imports and consolidates the raw data for routine monitoring, and organized by needed parameters such as work week, production line, and sampling location.
• Standardize and validate records the data. Automate alert report/information in abnormal case.
• Build an interactive dashboard with selectable consecutive week ranges and one or multiple production lines, showing trends, comparisons and approved specifications and ...
• Automatically generate exportable reports that reflect the selected filters and check calculations and outputs against existing monitoring reports.
• Work with a mentor and team of users to test and refine the solution, then hand over a working application, dashboard, reporting functions, and user guide.#internship.
• Currently pursuing a degree in Computer Science, Computer Engineering, Data Science, or a related discipline.
• Hands-on programming experience in Python or another language suitable for data processing and application development.
• Experience reading, cleaning, transforming, and consolidating Excel data; familiarity with Pandas and Openpyxl or equivalent tools.
• Coursework or project experience developing an interactive dashboard or application with data filtering and visualization (PowerBI, Tableau, etc).
• Ability to validate data and calculations, handle missing and duplicate records, and verify report accuracy.
• Familiarity with Streamlit, Dash, Plotly, SQL, Git, or equivalent tools is an advantage.
• Willingness and Active learners with an open mind.
• Calm and patient, with a positive attitude.
• Enjoy practical engineering, problem-solving, creative ideas, and accurate data.
• Communicate clearly, collaborate with mentors and teammates.
• English for project discussions and documentation.
• Home to 4,000+ employees, our Teparuk site produces nano-recording heads, a crucial component of the read/write functionality of a.
• hard disk drive. Our Teparuk facility is a fun and active site. Here at work you and your colleagues can grab breakfast, lunch, dinner and.
• snacks at our 24-7 on-site canteen and coffee shop. Get in a few laps around our running track or enjoy volleyball, ping pong, badminton.
• or football through our on-site gymnasium and fitness center. We also offer music, dance and yoga activities. Enjoy many on-site festivals.
• and celebrations as well as opportunities to give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

ทักษะ:

DevOps, Docker, Linux, C++, Git

ประเภทงาน:

งานประจำ

• Lead complete engineering work packages - from systems analysis and design to implementation, validation, and site commissioning - ensuring all deliverables meet budget, scope, and timescale targets.
• Provide expert technical guidance for bids and tenders, developing innovative engineering solutions and representing the company in high-level discussions with customers and suppliers.
• Drive the end-to-end development of complex technical products, managing all phases ...
• Leverage technical expertise to provide accurate cost estimations and project planning, taking full accountability for achieving quality, performance, and financial targets.
• Manage technical subcontractors and lead product demonstrations and trials for internal partners and customers to showcase new technologies and capabilities.
• Use your skills to move the world forward.
• Bachelor's degree or higher in Telecommunications, Software Engineering, or a related engineering field., supported by a proven track record in C/C++ development, specifically for embedded devices and Linux environments.
• Deep expertise in developing for embedded targets, including experience with Qt GUI applications, compositors (Wayland), and the Yocto/bitbake build system.
• Proficiency in the IBM Rational SDL & TTCN Suite, GCC/GDB, and modern development environments like VS Code, Git/GitLab, and Docker.
• Strong understanding of network communications and telecommunications standards (GSM-R, 4G, 5G), ideally within the Railway industry.
• Committed to Agile methodologies, DevOps practices, and Secure Coding, with experience in automated testing frameworks (Boost, gcov, CppCheck).
• Why you'll love working for Siemens Mobility.
• We live and foster an ownership culture in which every employee takes personal responsibility for our Company's success. We invest in our team members, offering a wide variety of development opportunities.
• Flexible working arrangements.
• Flexible Benefits Program for employees & dependents.
• Medical Insurance for Spouse and Children.
• Siemens Share Options.
• National & International opportunities.
• Positive, inclusive and relaxed working environment.
• Join a team dedicated to transforming the everyday for a more sustainable future.
• Siemens prides itself on its diverse workforce.
• Siemens has been recognised as ahead of its time for many reasons, and our progressive policies is one of them. We encourage applications that reflect the diversity of the communities within which we work.
• We are a proud equal opportunity employer, where we continue to push for a work environment of diversity and inclusion, we also believe that differences in personalities, thoughts and ideas are important, and that is why we know diversity and inclusion is very important in helping realise the potential of our people. As part of our Ownership culture, Siemens supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

ทักษะ:

Git, Apache

ประเภทงาน:

งานประจำ

• Architectural Artifacts: Serves as the primary author of the High-Level Design (HLD) and the Architecture Definition Document (ADD) using arc42 standards.
• System Modeling: Utilizes the C4 Model to create detailed component models and documentation that eliminate developer interpretation..
• Technical Governance: Ensures project-level "Gate" success and prevents localized technical debt or security leaks..
• Design Precision: Defines System Building Blocks (SBBs) and formal API Specifications(Open API/Swagger)..
• Decision Management: Records all architectural trade-offs as Architecture Decision Records (ADRs) in a version-controlled repository..
• Cloud & Container Technology.
• Platform Expertise: Architectural design and management within OpenShift (OCP) and Kubernetes (K8s) environments.
• Secret & Key Management: Integration of Vault and Hardware Security Modules (HSM)for robust cryptographic operations and secret management.
• Service Mesh: Implementation of Istio for traffic management and secure communication.
• Governance: Applying Git Ops Governance and integrating security scanning into CI/CD pipelines.
• Banking Security & Regulatory Standards.
• Cyber Resilience: Alignment with the Bank of Thailand (BoT) Cyber Resilience Framework to ensure systemic safety..
• Data Privacy (PDPA): Designing field-level encryption and masking for Personally Identifiable Information (PII) to comply with PDPA regulations..
• Identity & Access: Enforcing Multi-Factor Authentication (MFA) and utilizing OIDC/OAuth2 and JWT (JWS/JWE) for secure identity..
• Audit Readiness: Acting as a technical contact for BoT IT Examinations and ensuring all design assets are ready for regulatory audit..
• Payment Standards: Knowledge of PCI-DSS for cardholder data security.
• Technical Skills & Patterns.
• Microservices Patterns: Expertise in Database-per-service, Circuit Breaker, Sidecar, and Saga Patterns (Distributed Transactions).
• Messaging & Integration: Proficiency in Apache Kafka (ensuring Idempotency), gRPC, and REST (Level 3)..
• Distributed Systems: Application of CAP Theorem and Event Sourcing in high-availability environments..
• Resilience: Implementing Strangler Fig patterns for legacy migration and automated Disaster Recovery (DRP) plans..
• Bachelor's Degree in Computer Science or equivalent work experience.
• 10 year or more years of relevant work experience.
• Experience defining, applying and enforcing architecture standards, guidelines and policies to the organization.
• Good communication skills, abilities to discuss with technical and non-technical people, present ideas and motivate people.
• Background knowledge on banking.
• Messaging or streaming middleware such as RabbitMQ or Kafka.
• Experience with distributed architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile.
• Experience with high availability, high-scale, and performance systems.
• Why You'll Love Working With Us.
• At Krungsri Nimble, you'll join a passionate team working at the intersection of technology and banking innovation. We embrace an agile mindset where you'll have real ownership and the opportunity to influence system design and business outcomes. In our collaborative and transparent environment, we prioritize continuous learning to stay ahead of the curve. If you're looking for a role where you can make a responsible impact, grow your expertise, and help shape the future of digital banking, this is where you belong.
• Apply now and build something transformative with us.

ทักษะ:

Product Owner, Architecture, Kubernetes, DevOps, Cloud Computing

ประเภทงาน:

งานประจำ

• ประเมินและจัดประเภท Application/Code เป็น Experiment, Team/Department หรือ Enterprise/Critical และเสนอ Tier/Approval Path ร่วมกับ Product Owner และ Security.
• Review Solution Architecture, Application Design, API/Connector, Data Flow, Dependency, Error Handling, Scalability และ Deployment Model.
• ตรวจสอบ Business Logic, Role and Access Control, Authorization Rule, Application Owner, Support Owner และ Lifecycle Owner ให้ครบถ้วน.
• ตรวจว่า Application ใช้ Approved Connector, Platform Capability, White-listed AI Tool, Data Platform และทรัพยากรตามมาตรฐานองค์กร.
• ทบทวน Source Code และ AI-generated Code ในประเด็น Code Quality, Maintainability, Dependency, Logging, Configuration, Testability และ Technical Debt.
• เป็นที่ปรึกษาให้ Vibe Coder ในองค์กร ตั้งแต่การแตก Requirement, เลือก Architecture/Pattern, ออกแบบ Data/API, จัดการ Version และเตรียม Production Evidence.
• Coach Vibe Coder ให้เข้าใจข้อจำกัดของ AI-generated Code ไม่ยอมรับ Code โดยไม่ตรวจสอบ และสามารถอธิบาย Logic/Dependency ของ Application ที่ตนเป็นเจ้าของได้.
• ทบทวนหลักฐาน Functional Test, Integration Test, Negative Test, Backup/Recovery, Version Control, Change Record และ Rollback Plan.
• ให้ Technical Approval Recommendation หรือส่งกลับแก้ไขเมื่อ Application ยังไม่ผ่านเกณฑ์ Architecture, Quality หรือ Production Readiness.
• จัดทำ Technical Review Checklist, Coding/Architecture Standard, Approved Pattern, Reference Architecture, Template และ Playbook สำหรับ Tech CoE.
• ร่วมกับ Security Architect แปลง Security Guardrail ให้เป็นแนวทางที่ Vibe Coder และ Developer ใช้งานได้จริง.
• สนับสนุน Technical Troubleshooting ระดับ L1/L1.5 และวิเคราะห์ว่าเป็น Application Defect, Design Issue, Configuration, Infrastructure หรือ Platform Defect.
• ส่งต่อปัญหาด้าน Store/Platform Operations ให้ Product Delivery และปัญหา Platform Defect ให้ Muze พร้อมข้อมูลที่เพียงพอต่อการแก้ไข.
• ติดตาม KPI เช่น Review Lead Time, Rework Rate, Defect Leakage, Reusable Pattern Adoption และจำนวน Builder ที่สามารถส่ง App ผ่าน Gate ได้.
• ปริญญาตรีขึ้นไปด้าน Computer Science, Software Engineering, Information Technology, Computer Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 5 ปีในงาน Software Engineering, Solution Architecture, Technical Consulting, DevOps, Platform Engineering หรือ Application Modernization.
• มีประสบการณ์พัฒนาและ Review Source Code, API, Database Design และ System Integration ได้จริง.
• เข้าใจ SDLC, CI/CD, Git, Test Strategy, Release Management, Observability และ Production Support.
• มีความรู้ Cloud/Container เช่น AWS, GCP, Kubernetes หรือ Container Platform รวมถึง Logging, Monitoring และ Secret Management.
• เข้าใจ IAM, SSO, RBAC, API Security และ Data Classification ในระดับที่ Review Design และประสาน Security ได้.
• สามารถให้คำปรึกษาและอธิบายเรื่องซับซ้อนแก่ Vibe Coder, Business User และ Developer ด้วยภาษาที่นำไปปฏิบัติได้.
• สามารถแปลง Policy หรือ Requirement ให้เป็น Checklist, Standard, Template และ Approved Pattern.
• มีทักษะวิเคราะห์ปัญหา End-to-end และทำงานข้ามทีมกับ Infrastructure, Security, Product Owner, Product Delivery และ Vendor.
• มีประสบการณ์ AI-assisted Development, Vibe Coding, Low-code Platform, Internal Developer Platform หรือ App Marketplace จะได้รับการพิจารณาเป็นพิเศษ.
• เป็นระดับ Experienced/Senior สามารถใช้ Independent Technical Judgment และ Challenge แนวทางที่มีความเสี่ยงได้อย่างสร้างสรรค์.
• สมัครตอนนี้.
• เริ่มการสมัครด้วย LinkedIn.
• สมัครตอนนี้.
• เริ่มต้น.
• โปรดรอสักครู่.
• ข้อมูลโดยย่อ.
• CPF Worldwide.
• เปิดในแท็บใหม่.
• เปิดในแท็บใหม่.
• เปิดในแท็บใหม่.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

TensorFlow, Selenium, Python, Scrum, Cloud Computing

ประเภทงาน:

งานประจำ

• Bangkok, Thailand (Hybrid).
• Workplace: hybrid.
• The Data Scientist is responsible for developing predictive models, optimisation and analytical solutions across a broad range of business problems including demand forecasting, price and elasticity modelling, customer and store segmentation, and AI/LLM-based solutions that enable data-driven decisions across commercial and operational functions. This role bridges business needs and advanced analytics, combining stro ...
• Modelling & Optimisation.
• Design, develop, and deploy predictive and machine-learning models across areas such as demand forecasting, price and elasticity modelling, price/assortment optimisation, and recommendation.
• Build customer and store segmentation, clustering, and entity-matching / item-mapping solutions to support commercial and marketing decisions.
• Frame business problems as data science problems, selecting appropriate methods and validation approaches to deliver reliable, production-ready outcomes.
• Continuously evaluate and improve model performance, accuracy, and business impact over time.
• AI & Advanced Analytics.
• Apply NLP and LLM/Generative AI techniques to use cases such as text classification, sentiment/voice-of-customer analysis, data mapping, and RAG or text-to-SQL applications.
• Prototype and evaluate emerging AI approaches, turning promising experiments into practical business solution.
• Data, Insights & Data Sourcing.
• Source, acquire, and integrate data from internal systems, third-party providers, and external sources (e.g. web scraping, APIs, public datasets).
• Explore, clean, and transform large datasets to prepare high-quality features; ensure data quality, consistency, and integrity.
• Identify trends, patterns, and opportunities in data - including external factors - and proactively surface insights that drive business value.
• Delivery & Productionisation.
• Build and maintain data pipelines and scheduled jobs (e.g. on Databricks) to run models and analytics reliably in production.
• Deliver results through dashboards, reports, and applications, and maintain clear documentation of models, data, and methodologies.
• Business Partnering.
• Engage with business stakeholders to understand objectives, gather requirements, and translate them into data science solutions.
• Communicate complex results clearly to technical and non-technical audiences, and manage timelines and deliverables to agreed success criteria.
• Bachelor's degree (minimum); Master's degree preferred in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3-5 years of hands-on data science experience in a commercial or enterprise environment.
• Experience in retail, FMCG, or e-commerce is a strong advantage.
• Strong programming skills in Python and SQL with solid command of data science libraries (e.g. pandas, scikit-learn, TensorFlow/PyTorch).
• Sound understanding of machine-learning and statistical techniques, with experience across several of: forecasting, elasticity/optimisation, segmentation/clustering, and entity matching.
• Experience with NLP and LLM/Generative AI (e.g. embeddings, RAG, text-to-SQL) is a strong advantage.
• Ability to source and integrate external data via web scraping and APIs (e.g. requests, Playwright/Selenium).
• Experience building and scheduling data pipelines, ideally on Databricks/Spark, or a similar big-data or cloud platform (Azure, AWS, or GCP).
• Strong data storytelling and visualisation skills; able to communicate insights clearly to technical and non-technical audiences.
• Proven track record of delivering data science projects end-to-end, on time, and managing stakeholder expectations.
• Familiarity with version control (Git) and Agile/Scrum delivery is a plus.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/C1BD20FD69/apply).

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Nawamin Road, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Technology.
• The Senior Data Governance Specialist is the senior individual contributor who builds and runs the data-governance tooling that makes the program real - the PDPA compliance scanner, the data-catalogue automation, the access-control sync, the AI model-governance evidence. This role makes policy technically true and measurable across the enterprise data estate.
• Design, build, and operate an automated weekly PDPA compliance scanner on data-catalogue assets - checking classification completeness, retention-tag presence, access-control alignment - and maintain machine-readable audit evidence ready for regulators on demand.
• Drive data-catalogue (Databricks Unity Catalog or equivalent) technical adoption - bulk registration tooling, classification tagging, lineage capture, metadata-quality checks - with measurable coverage targets.
• Implement automated Row-Level Security sync integrated with Azure AD; reduce access-ticket volume through self-service and automated provisioning.
• Maintain the AI model-governance register and operationalise governance directives into the model-deployment CI / CD gate; build and run the GenAI audit trail.
• Build and operate the schema-governance CI check - no unreviewed schema change reaches production; maintain the exception workflow and audit log.
• Implement the data-classification framework (public / internal / confidential / restricted) at scale; tie to retention and access policy; detect classification drift.
• Partner with Data Stewards as the technical enabler - build the tools they rely on (DQ triage UI, glossary entry flows, source SLA dashboards).
• Partner with the Data Protection Officer and Legal on enforcement, incident response, and audit cycles; co-own data-product governance with platform engineering.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline.
• 5+ years total data-engineering / governance-engineering experience, with 3+ years on data governance tooling and compliance (catalog operations, access-control automation, classification, lineage).
• Strong Python - builds production services (scanner, CI checks, automations); solid SQL fluency; comfortable reading PySpark.
• Thailand PDPA literacy - translates a requirement into an automated control; GDPR or comparable regime experience welcome.
• Production experience with a data catalog (Databricks Unity Catalog, Collibra, Atlan, Purview, Informatica, Alation, or equivalent).
• Designed and implemented access-control automation in cloud data platforms (RBAC + RLS + IAM integration).
• Git / CI production discipline; cloud platform experience (Azure preferred).
• Can write a clear design doc and partner with engineers, legal, and security stakeholders.
• Preferred.
• Hands-on Databricks Unity Catalog production experience (tags, lineage, RLS, system tables); AI Model Governance exposure (NIST AI RMF, EU AI Act awareness, model-registry governance gates).
• Data contracts implementation (Gable, Schemata, or in-house); policy-as-code (OPA, Rego) or CI-based policy enforcement.
• ISO 27001 / SOC 2 evidence-collection experience; retail loyalty / POS data context (consent, PII at retail scale).
• Vendor or industry certifications such as Databricks Data Engineer Professional, DAMA CDMP, PDPA training (Thai DPO programme), or ISO 27001 Lead Implementer.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/00975A720A/apply).

ทักษะ:

Software Development, Software Testing, Cloud Computing, Accounting, Automation, TypeScript, Javascript, Teamwork, YouTube, RESTful, Python, DevOps, .NET, C++, C#, English, Thai

ประเภทงาน:

งานประจำ

• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process.
• here.
• For more information about business solicitation and recruiting scams, please click.
• here.
• We thank you for your interest in ExxonMobil.".
• Stay connected with us.
• Learn more at our.
• website.
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• LinkedIn.
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• X.
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• Facebook.
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• YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Cloud Computing.
• Web Front-End Development.
• Backend Development.
• Identity & Access Management.
• Software Security.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Industry trends, Architecture, Electronics, Leadership Skill, C++

ประเภทงาน:

งานประจำ

• Lead the design, development, and optimization of embedded firmware for microcontroller-based systems.
• Collaborate with cross-functional teams to define system architecture and requirements.
• Review and approve firmware designs and code developed by team members.
• Troubleshoot and resolve complex firmware and hardware integration issues.
• Ensure best practices in coding standards, documentation, and testing.
• Guide and mentor junior engineers, providing technical direction and support.
• Participate in project planning, estimation, and risk assessment.
• Stay updated with the latest industry trends and technologies.
• Bachelor's or Master's degree in Electronics, Computer Engineering, or related field.
• 5+ years of experience in embedded firmware development (e.g., ARM, PIC, STM32, etc.).
• Strong proficiency in C/C++ programming for embedded systems.
• Experience with hardware schematics, debugging tools, and lab equipment.
• In-depth knowledge of communication protocols (UART, SPI, I2C, CAN, etc.).
• Proven track record of leading firmware projects or teams.
• Excellent problem-solving, analytical, and communication skills.
• Preferred Skills.
• Experience with Real-Time Operating Systems (RTOS).
• Familiarity with wireless protocols (Bluetooth, Wi-Fi, Zigbee, etc.).
• Knowledge of IoT platforms and cloud connectivity.
• Experience with version control systems (e.g., Git).
• Scripting skills (Python, Bash, etc.) for automation and testing.
• Understanding of EMC/EMI compliance and safety standards.
• You will be based in our Rayong plant.
• Annual leave.
• Employee Provident Fund.
• Medical & Life Insurance.
• Five days working.
• As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.
• Electrolux APAC & MEA: https://www.linkedin.com/company/electrolux/life/apacmea/.

ทักษะ:

Recruitment, Full Stack, TypeScript, Backbone, English

ประเภทงาน:

งานประจำ

• Extend, maintain, and evolve a shared UI component library used by 1,000+ developers, ensuring consistency, scalability, and reusability across projects.
• Build advanced Angular (v17+) features and patterns, ensuring WCAG AA accessibility, robust state management (e.g., NGRx), and high performance.
• Automate repetitive tasks using Angular Schematics or similar tooling; contribute to developer platform workflows and templates.
• Partner with stakeholders (Design, Marketing, Engineering) to extend the frontend platform and integrate low-code capabilities for rapid app development.
• Provide third-level support and onboarding guidance to product teams; coordinate seamless versioned updates across Allianz.
• Participate in code reviews, testing, and debugging; develop comprehensive unit/e2e tests to assure reliability, performance, and functionality.
• Document technical specifications, guidelines, and best practices; contribute to open-source libraries (e.g., https://github.com/allianz/ng-aquila).
• Collaborate with BFF/backend teams on API contracts and integrations; safeguard security and privacy-by-design.
• Leverage AI coding tools to accelerate implementation, generate tests, improve documentation, and support refactoring with proper verification.
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• Deep hands-on expertise with Angular and TypeScript, including components, services, routing, dependency injection; strong Angular CLI and Schematics experience.
• Proven experience building and maintaining enterprise-grade UI component libraries/design systems with WCAG AA accessibility.
• Proficiency with automated testing (e.g., Jasmine/Karma, Jest, Cypress) and CI/CD practices to assure quality at scale.
• Strong Git fundamentals and collaboration practices; excellent written and verbal English communication skills.
• Ability to grasp complex technical topics quickly, support cross-team onboarding, and coordinate platform-wide updates.
• Basic knowledge of AI technologies, principles, and their practical use.
• 107620 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent.
• With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked with running, optimizing, transforming, and innovating the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization - from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.
• www.linkedin.com/company/allianz-technology.
• Allianz Technology is proud to be an equal opportunity employer dedicated to fostering an inclusive work environment for everyone. We embrace individuals of all gender identities and expressions, sexual orientations, ethnicities, ages, nationalities, religions, disabilities, and philosophies of life. Ultimately, our greatest strength as a company lies in the unique skills, experiences, and backgrounds our employees contribute.
• Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agency or search firm recruiters. When we engage with recruitment agencies, the partnership is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate is ultimately employed by Allianz.

ทักษะ:

Software Development, Analytical Thinking, Data Analysis, Automation, Full Stack, Javascript, TensorFlow, Python, C++, C#, English

ประเภทงาน:

ฝึกงาน

• Analysis, conceptualization, and design of AI driven systems targeting manufacturing processes and application error logs.
• Write the calculations and base codes based on the design and data validations.
• Prepare documentations and progress reporting and/or dashboards, technical summaries and presentations of finding.
• Provide regular update to the hiring manager on activities or deliverables.
• Assist in the analysis of engineering and manufacturing data to identify improvement opportunities.
• Support process monitoring and optimization.
• Work with engineers on tests and technical evaluations.
• Participate in problem-solving and root cause analysis activities.
• Collaborate with cross-functional teams on assigned projects.
• _This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum._.
• Currently pursuing a Master's Degree or A Bachelor's Degree in AI and Automation, Computer Engineering, Computer Science, or equivalent.
• Demonstrable proficiency in utilizing Microsoft Visual Studio C#/C++ and other languages such as Python or Java.
• Understanding of software development lifecycle (SDLC) and version control systems (e.g., Git).
• Ability to work with large datasets and technical information - Detail-oriented with a structured and organized approach to tasks.
• Able to work both independently and collaboratively in a team environment.
• Basic knowledge of statistical process control, manufacturing processes, and the use of AI in manufacturing.
• Experience with web technologies (HTML, CSS, JavaScript) or API development.
• A comprehensive understanding of industry-standard best practices in business analysis and related fields is highly desirable.
• Hands-on experience with real engineering and data analysis projects.
• Strong analytical thinking, attention to detail, and ability to work collaboratively in a team environment.
• Exceptional ability to produce clear, concise, and professional documentation, including requirements documents, design specifications, test plans, and end-user manuals.
• Strong communication skills in English, with the capacity to effectively present requirements, designs, test plans, and project status updates to both peers and management.
• Strong in Full Stack development, React, Tensorflow, Machine Learning, C++/C#, Python or R, Agentic AI, MQ technologies, MSSQL / PLSQL, PostgreSQL.
• Familiarity with Artificial Intelligence concepts and emerging technologies is considered a significant asset for this role.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills in English.
• Additional Information.
• LI-SB1.
• WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
• WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the.
• job title.
• and requisition number of the position for which you are applying.
• Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Postgre SQL, Spring Boot, MySQL, English

ประเภทงาน:

งานประจำ

• Provide 24-hour response to operational failures of the bank's core banking system, covering business anomalies in application systems (e.g., deposit, loan, report, and document systems) and infrastructure anomalies (e.g., cloud services, databases, and networks);.
• Conduct real-time monitoring of system issues and respond promptly; escalate issues to the subsequent handling process in a timely manner, and assist in extracting logs and data required for issue analysis;.
• Upon receiving the bank's MA support request, initiate the response process within 15 minutes, and quickly complete preliminary localization through troubleshooting of abnormal phenomena, log analysis, and data verification;.
• Cooperate efficiently with the bank to resolve Serv1 or Serv2-level system issues;.
• Prepare detailed incident reports, and accurately communicate the results of root cause analysis to the bank and support teams;.
• Organize the MA processes of the core system, iteratively update the MA support manual, and ensure the implementation of standardized MA practices.
• A bachelor's degree or above, majoring in computer science, software engineering, or related fields.
• Have in-depth familiarity with the application architecture of the bank's core systems, master relevant knowledge of cloud environment operation and maintenance, and possess professional knowledge of IT Service Management (ITSM) best practices.
• Have excellent written and verbal communication skills, and be able to convey complex information clearly and concisely. Thai or English communication skills are required (candidates who can speak Chinese will be given priority).
• Recognize and accept the 24-hour, 7-day shift system, and be able to adapt to night shifts and holiday duty (each shift includes 30-minute shift-handover time).
• Have strong coordination and organizational abilities, and be able to manage multiple tasks efficiently and prioritize them clearly.
• Be familiar with the Spring Boot framework and have Java coding and development capabilities.
• Be familiar with the access operations of mainstream databases (MySQL, PostgreSQL), and have the ability to optimize SQL, tune performance, and optimize batch tasks.
• Be proficient in mainstream development tools such as Eclipse and IntelliJ IDEA, be skilled in using version management tools such as Git and SVN, and log management and analysis tools such as Kibana.
• Be able to work stably in Thailand for a long time, have good self-learning ability, and be able to quickly adapt to business and technological updates.

ทักษะ:

ElasticSearch, Kubernetes, Javascript, Jenkins, Python, Docker, DevOps, Linux

ประเภทงาน:

งานประจำ

• In 2018, we served over 30 million customers in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines), and processed over 4.5 billion USD. This makes us by far the largest fintech company in SE Asia, and growing quickly.
• As a member of our esteemed Technical Operations team, you will be helping to bring this vision to reality by leveraging the most modern cloud-native technologies. At Ascend, you will be part of a team who are directly responsible for improving the lives of millions.
• Performs software deployment, change and support operation in production.
• Design and develop software.
• scripts/services to automate tasks in production within DevOps culture.
• Collaborate with Engineering team and Technical Operations to ensure the quality and speed of service delivery.
• Work closely with Engineering teams to define, support and continuously improve the entire release standards and processes.
• Investigate, analyse, and resolve incidents together with Technical Operations, Engineering, 3rd parties.
• Review and resolve application alerts.
• Perform root cause analysis of incidents.
• Able to work at night some times.
• Essential Skills & Prerequisites.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others and is ready for changes and can take on new challenges.
• Bachelor's Degree in Computer Science or equivalent work experience.
• Jenkins, CICD pipeline, Git.
• Container (Docker) and Container Orchestration (Kubernetes, OpenShift, Mesos).
• Logging platform (ElasticSearch, EFK).
• Monitoring platform (Prometheus, Grafana).
• RabbitMQ, ActiveMQ.
• AWS, GCP, Terraform.
• Linux (RHEL, CentOS).
• Shell script.
• Programming languages e.g. NodeJS, Python, JavaScript, Go.

ทักษะ:

Software Development, Risk Management, Accounting, Automation, Power BI

ประเภทงาน:

งานประจำ

• Support the Financial Risk Management team as an additional hands-on operating resource; and.
• Learn those operations in sufficient depth to progressively automate manual and repetitive activities using AI-assisted coding, workflow automation, data tools, and Agentic AI.
• Key Accountabilities.
• Collect and compile daily market information from multiple systems and from PTTEP's partner financial institutions.
• Update internal documents, reports, and spreadsheets supporting daily financial risk management operations.
• Reconcile calculations of financial risk management instruments and verify results against counterparty confirmations.
• Post transactions to SAP and support month-end and year-end closing activities.
• Coordinate with internal teams and partner financial institutions on day-to-day operational matters.
• required information and data sources;.
• calculation methodologies and system/data flows;.
• reconciliations and controls;.
• common exceptions and how they are currently identified and resolved; and.
• activities requiring human judgment versus those that are repetitive or rules based.
• Based on this understanding, help identify opportunities to eliminate, simplify, standardize, or automate suitable activities.
• Automation and AI Enablement.
• Document workflows and requirements for selected automation opportunities.
• Support the design, prototyping, development, testing, and parallel run of Agentic AI processes together with internal teams.
• Use AI-assisted coding, data, and workflow automation tools where appropriate, such as Python, SQL, APIs, Excel/Power Query, Power Automate/Power Apps, Large Language Models, document processing tools, databases, RPA, dashboards, and Agentic AI solutions.
• Bachelor's degree in Economics, Statistics, Financial Engineering, Accounting, Computer Science, Information Technology, Computer Engineering, Data Science, Management Information Systems, or related fields.
• 0-5 years' experience in financial operations, treasury, financial risk management, business analysis, process automation, data analytics, software development, or digital transformation would be advantageous.
• Proficient in MS Office, especially Microsoft Excel.
• Strong analytical skills and high attention to detail with numerical data.
• Good coordination, communication, and interpersonal skills.
• Good command of both written and spoken English.
• Additional/ Preferable.
• Experience with SAP (FI/TR modules).
• Familiarity with financial market data platforms (e.g., LSEG/Bloomberg) and banking portals.
• Interest in, or hands-on exposure to, AI-assisted tools and process automation or digital transformation initiatives.
• Hands-on experience with several of the following would be advantageous: Python, SQL, REST APIs, Power Query, Power Automate, Power Apps, Git, Databases, AI coding assistants, Large Language Models, Agentic AI, RAG systems, Workflow automation, RPA, Document AI / OCR, Power BI, or Basic web application development.
• The individual does not need to be a professional software engineer.

ทักษะ:

Software Development, Web Services, Javascript, Python, Java

ประเภทงาน:

งานประจำ

• พัฒนาและออกแบบแอปพลิเคชันซอฟต์แวร์โดยใช้หลัก Clean Code และ Best Practices ในการเขียนโปรแกรม.
• ทำการวิเคราะห์ความต้องการและออกแบบระบบโดยทำงานร่วมกับทีมผู้บริหารและผู้ใช้ปลายทาง.
• บำรุงรักษา ปรับปรุง และแก้ไขจุดบกพร่องในระบบซอฟต์แวร์ที่มีอยู่.
• ทดสอบและประกันคุณภาพของโค้ดและแอปพลิเคชันผ่านการเขียน Unit Tests และการทดสอบอื่นๆ.
• ร่วมมือกับทีมเพื่อสนับสนุนการปรับใช้ระบบและแก้ปัญหาในสภาพแวดล้อมการผลิต.
• ทักษะ.
• และประสบการณ์.
• การศึกษา: ปริญญาตรีขึ้นไปในสาขาวิทยาการคอมพิวเตอร์ วิศวกรรมซอฟต์แวร์ เทคโนโลยีสารสนเทศ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์: มีประสบการณ์พัฒนาซอฟต์แวร์ไม่น้อยกว่า 2 ปี โดยมีความชำนาญในการใช้ภาษาโปรแกรมอย่างน้อยหนึ่งภาษา เช่น Java, C#, Python, JavaScript หรือภาษาอื่นๆ ที่เกี่ยวข้อง.
• ทักษะทางเทคนิค: ความเข้าใจอย่างลึกซึ้งเกี่ยวกับ Software Development Lifecycle (SDLC) ฐานข้อมูลเชิงสัมพันธ์ (Relational Database) Version Control System เช่น Git และสถาปัตยกรรมซอฟต์แวร์พื้นฐาน.
• ทักษะเพิ่มเติม: ความเข้าใจเกี่ยวกับ API, Web Services, Microservices หรือการพัฒนาแอปพลิเคชันบนคลาวด์จะเป็นประโยชน์เพิ่มเติม นอกจากนี้ ความสามารถในการทำงานเป็นทีม การสื่อสารที่ดี และความสามารถในการแก้ปัญหาจะมีความสำคัญอย่างยิ่ง.
• หากคุณมีทักษะและประสบการณ์ที่ตรงกับตำแหน่งนี้ สมัครเลย เพื่อเข้าร่วมทีมที่มีแชมเปี่ยนและเป็นส่วนหนึ่งของการพัฒนาเทคโนโลยีในอุตสาหกรรมเหล็ก.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Warehousing, Microsoft Azure, Architecture, Automation

ประเภทงาน:

งานประจำ

• Design, develop, implement, and maintain enterprise data integration solutions, data pipelines, and data platform services.
• Manage and support Microsoft Azure data platform components, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and related services.
• Support the adoption, implementation, and continuous improvement of Microsoft Fabric technologies and modern data platform architectures.
• Develop and maintain ETL / ELT processes to ensure reliable movement and availability of business data across enterprise systems.
• Monitor platform performance, availability, capacity, and operational health to ensure service reliability.
• Data Quality and Reliability.
• Establish and maintain data quality controls, validation processes, and reconciliation procedures.
• Investigate, troubleshoot, and resolve data platform incidents, data inconsistencies, and integration failures.
• Monitor and improve data timeliness, accuracy, completeness, and reliability.
• Support business users in identifying, analyzing, and resolving data-related issues.
• Data Governance and Security.
• Maintain data lineage, metadata, data catalogues, and technical documentation for enterprise data assets.
• Support implementation of data governance standards, policies, and best practices.
• Ensure compliance with information security, privacy, and regulatory requirements, including PDPA.
• Implement and maintain appropriate data protection controls, including encryption, access management, data masking, and row-level security.
• Participate in audit, compliance, risk assessment, and remediation activities related to the data platform.
• Business and Vendor Collaboration.
• Collaborate with business units to gather requirements and translate business needs into scalable data solutions.
• Support reporting, analytics, automation, and business intelligence initiatives across the organization.
• Coordinate with external vendors, consultants, and system owners during integrations, upgrades, and project implementations.
• Provide technical guidance and recommendations on data architecture, platform enhancements, and emerging technologies.
• Documentation and Continuous Improvement.
• Develop and maintain technical documentation, architecture diagrams, operational procedures, and support materials.
• Maintain version-controlled repositories and ensure proper documentation of platform configurations and changes.
• Identify opportunities to improve platform performance, scalability, security, reliability, and cost efficiency.
• Continuously develop knowledge and skills related to Microsoft data platform technologies and industry best practices.
• Perform other.
• as assigned by management.
• Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering, Computer Engineering, Statistics, or a related field.
• Minimum 2 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, Business Intelligence, or a related technology discipline.
• Experience designing, implementing, and supporting enterprise data platforms and data integration solutions.
• Strong proficiency in SQL and relational database technologies, including data modelling and data warehouse concepts.
• Hands-on experience with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
• Experience developing and maintaining ETL / ELT pipelines for operational reporting, analytics, and business intelligence solutions.
• Understanding of data governance, data lineage, metadata management, and data quality management practices.
• Knowledge of data security principles, including access control, encryption, data masking, and privacy regulations such as PDPA.
• Experience working with Git or other version control platforms for development and configuration management.
• Experience working with business stakeholders to gather requirements and translate them into technical solutions.
• Ability to investigate and resolve complex data platform issues, data quality concerns, and integration failures.
• Strong communication, documentation, analytical thinking, and stakeholder management skills.
• Experience coordinating with external vendors, system integrators, and technology partners is preferred.
• Experience with Microsoft Fabric, Microsoft Purview, hospitality systems, or multi-site operations environments is an advantage.
• Possesses a service-oriented mindset, demonstrates initiative, and continuously seeks opportunities to improve platform reliability, performance, security, and data quality.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Google Analytics, Industry trends, Data Analysis, Full Stack, Leadership Skill

ประเภทงาน:

งานประจำ

• Leading high-impact analytical and business intelligence projects that directly influence executive deci-sion-making and organizational strategy.
• Serving as the subject matter expert in advanced analytics and business intelligence methodologies, driv-ing innovation in analytical and reporting approaches.
• Establish best practices, analytical standards, and strict data accuracy protocols across analytics and BI delivery, acting as the primary liaison between data capabilities and business leadership to ensure com-mercial teams have highly reliable data f ...
• Strategic Problem Definition & Analysis Leadership.
• Collaborate with cross-functional teams to gather, analyze, and interpret data from various sources, both internal and external, across paid/ owned/ earned channels.
• Lead the definition and refinement of complex business problems from a technical and strategic data perspective, ensuring alignment with organizational goals and long-term strategic objectives.
• Conduct comprehensive stakeholder analysis to understand underlying business needs and translate them into sophisticated analytical and business intelligence frameworks.
• Proactively define project workstreams and delivery data-driven solutions around market intelligence and performance topics.
• Technical Implementation & Development.
• Act primarily as an individual contributor, delivering data analysis, requirements, and solutions (SQL, Python, Metabase, Power BI, etc.) while maintaining world-class technical standards and advancing analytics and business intelligence practices.
• Stakeholder Management & Strategic Alignment.
• Build strong relationships with executive stakeholders, drive alignment of business requirements with executive stakeholders, define advanced metrics and deliver comprehensive analytics and business intelligence solutions (e.g., dashboards, reports, predictive insights).
• Collaborate with DVCS YAA Data and Tech teams to define requirements for analytics and business intelligence tools and infrastructure.
• Clearly communicate business requirements, insights, and expected impacts to stakeholders.
• Technical Excellence & Data Infrastructure Leadership.
• Perform and track complex data extraction, data cleaning, and advanced transformations independently, often designing and implementing robust data pipelines.
• Produce sophisticated dashboards, reports, and analytics independently.
• Proactively understand, ensure, and govern data quality across various datasets.
• Troubleshot complex data quality issues, identifying root causes and proposing robust, scalable improvement suggestions.
• Define problems and propose effective solutions based on data and stakeholder inputs.
• Leadership and Advocacy.
• Establish performance standards and quality metrics for analytical work across YTH.
• Lead training initiatives and knowledge sharing sessions to elevate the analytical capabilities of YTH.
• Stay current with industry trends and emerging technologies in BI and analytics to ensure YTH remains competitive.
• At least a Bachelor's degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Sci-ence, Economics) or a closely related field. A Master's degree is a bonus.
• At least 8 years of progressive experience in a similar quantitative, analytical role, demonstrating in-creasing responsibility and complexity of projects.
• Advanced coursework or professional development in statistics, machine learning, business intelli-gence, or related analytical disciplines.
• Proven track record of leading high-impact analytical projects that have influenced strategic business decisions.
• Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets.
• Proven ability to resolve data conflicts and discrepancies that impact multiple business units.
• Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights.
• Advanced expertise in statistical modeling, predictive analytics, and machine learning applications for business problems.
• Advanced-to-Expert Level skills in fullstack Data Skills: with at least one skill to a world-class level.
• SQL (Structured Query Language): Expert.
• Microsoft Excel: Expert.
• BI Tools (e.g., PowerBI, Metabase): Expert.
• Python or R (for data analysis): High to Expert.
• Data Cleaning and Preparation: Expert.
• Exploratory Data Analysis (EDA): Expert.
• Statistical Concepts: High.
• Marketing Analytics Tools (Google Analytics, Whatsapp, etc.): High.
• Version Control (e.g., Git/GitHub/GitLab): High.
• AI/ML Application (Analytical Focus): Medium to High.
• Exceptional attention to detail and unwavering commitment to data accuracy and integrity.
• Advanced problem-solving skills and ambiguity navigation skills.
• Ability to maintain analytical rigor under pressure.
• Cultural dexterity in handling multiple stakeholders and functions.
• Superior written and verbal communication skills, ability to tune up or down across a variety of audi-ence.
• Refined storytelling skills, able to craft compelling narratives to influence strategic decisions.
• Proficiency in Thai and English is required.

ทักษะ:

Web development, Javascript, Leadership Skill, Laravel, node.js

ประเภทงาน:

ฝึกงาน

• Design and manage database solutions to ensure reliable, scalable, and efficient data storage and access.
• Develop and enhance systems by integrating database information with Failure Analysis (FA) reports to ensure data accuracy and consistency.
• Design, develop, and maintain in collaboration with cross-functional development teams.
• Build and enhance front-end and back-end functionalities using best practices.#internship.
• Experience with database systems, particularly MySQL and KNIME.
• Experience with version control systems (Git).
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Basic understanding of web development fundamentals, including HTML, CSS, and JavaScript.
• Basic knowledge of UI/UX design principles.
• Familiar with PHP, Node.js, and Laravel framework.
• Good command of spoken and written English.
• Active and initiative person.
• Ability to understand user requirements, failure analyze results and develop solutions that meet expectations and project objectives.
• Location: Teparuk, Thailand.
• Our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.