เงื่อนไขการค้นหา

ทักษะ:

ETL, SQL

ประเภทงาน:

งานประจำ

• Are you a technically minded data professional who enjoys solving complex data challenges and making sure information flows accurately across systems and teams? As Data Integration Specialist - ETL & Data Loading at Allianz Partners in Bangkok, you will be responsible for the end-to-end process of loading beneficiary data into our portfolio management system - ensuring alignment with business objectives and the needs of our partners, claims teams, and reporting functions. Allianz Partners operates as a B2B2C business, connecting corporate partners such as travel companies, automoti ...
• Data Loading & Partner Onboarding.
• Manage the onboarding of business partners at a global level, ensuring smooth integration of beneficiary data into our systems.
• Coordinate with business partners and internal stakeholders on datasets, upload frequency, and data requirements.
• Set up and maintain SFTP connections with business partners, ensuring secure and reliable data transfer.
• Troubleshooting & Issue Resolution.
• Investigate and resolve data loading issues, conducting root cause analysis for recurring problems and implementing preventive measures.
• Manage multiple requests and prioritise effectively to ensure timely resolution.
• Communicate outcomes and recommendations clearly to relevant stakeholders.
• Process Optimisation & Compliance.
• Identify and implement improvements to data loading processes to enhance efficiency, accuracy, and scalability.
• Maintain awareness of data privacy regulations including PDPA and GDPR, ensuring day-to-day data handling practices are aligned with company policies.
• Maintain a clear understanding of data touchpoints across all Lines of Business.
• Stakeholder Collaboration.
• Work closely with operations, contract implementation, claims, underwriting, and digital teams to ensure seamless data integration.
• Act as a reliable point of contact for business partners and internal teams, bridging technical and business requirements.
• Quality Assurance & Testing.
• Support and participate in User Acceptance Testing (UAT) to ensure data quality, system functionality, and alignment with business requirements.
• Implement monitoring and logging mechanisms to ensure transparency and traceability of data activities.
• Continuous Improvement.
• Stay current with trends, tools, and best practices in data loading and management.
• Contribute ideas and improvements to enhance team processes and overall data operations.
• Support knowledge sharing within the team to build collective capability.
• What You'll Bring.
• Solid experience in data loading, data integration, or a related data management role.
• Hands-on experience with ETL tools such as Pentaho Data Integration (Kettle), SSIS, or similar platforms.
• Proficiency in SQL for data querying, validation, and manipulation.
• Experience setting up and managing SFTP connections or similar secure file transfer protocols.
• Familiarity with scripting languages such as Python or JavaScript for data automation is a plus.
• Advanced Excel skills; experience with Power Query or similar reporting tools is an advantage.
• Familiarity with Agile project management tools such as Jira or Confluence is a plus.
• Basic awareness of data privacy regulations - PDPA and/or GDPR - and how they apply to data handling practices.
• Familiarity with AI-powered data tools or automated data quality solutions is an advantage.
• Strong troubleshooting and analytical skills with the ability to resolve data issues independently.
• Good stakeholder management skills - comfortable working with both technical and non-technical teams.
• Customer-centric mindset with a focus on delivering accurate, timely data solutions.
• Strong organisational skills with the ability to manage multiple priorities effectively.
• Strong English proficiency - both written and verbal - is required for this role.
• Must have full rights to work in Thailand - visa sponsorship is not provided.
• What We Offer.
• Competitive salary and performance-based bonus.
• Provident fund contributions.
• Comprehensive health insurance coverage.
• Flexible working arrangements.
• Annual leave and public holidays in line with Thai employment standards.
• Learning and development opportunities to grow your technical career within Allianz Partners' global network.
• Exposure to international data operations and cross-functional technology projects.
• A collaborative, inclusive work environment at Soi Petchaburi 35, Ratchatewi, Bangkok.
• f you're excited but don't meet every single requirement, apply anyway - we value potential and learning agility. Only shortlisted candidates will be contacted.
• 98328 | Data & AI | Professional | Allianz Partners | Full-Time | Permanent.
• Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions across automotive, travel, health, and home assistance. Present in over 75 countries, we combine the strength of the Allianz Group with a local, innovation-driven mindset. In Thailand, our technology and data teams are part of a growing hub supporting digital transformation across the APAC region and beyond. At Allianz Partners, we are committed to building an inclusive workplace where every team member can grow, contribute, and thrive.
• Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow.
• To Recruitment Agencies.
• We have an in-house recruitment team that focuses on sourcing great candidates directly. Therefore, we do not accept unsolicited resumes from agencies or search firm recruiters. When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when such a contract is in place. Without a contract, we will not accept invoices related to unsolicited resumes, even if the candidate is ultimately hired. Please do not contact hiring managers directly.

ทักษะ:

Cloud Computing, Amazon AWS

ประเภทงาน:

งานประจำ

Designing and implementing data pipelines that extract data from various sources, transform it into a suitable format, and load it into data storage systems. - Integrating data from multiple sources, which can include databases, APIs, logs, and external data sets, to create a unified view of data. - Setting up and managing data warehouses or data lakes where large voulumes of data can be stored and easily accessed for analytical purposes. - Implementing data governance practices to ensure data is managed in a consistent and standardized way across the organization. - Implementing d ...

ทักษะ:

Microsoft SQL Server, Recruitment, Automation, Power BI, SSIS

ประเภทงาน:

งานประจำ

• Data Integration & ETL Development Design & Deploy: Build, develop, and deploy robust SSIS packages for complex data integration workflows. Pipeline Management: Construct and maintain end-to-end ETL pipelines handling data extraction from multiple sources (ERP, CRM, flat files, APIs), applying transformation logic aligned with business rules, and loading data into data warehouse/data platform layers. Performance Optimization: Optimize SSIS packages for maximum performance (parallelization, indexing awareness), maintainability (modular design), and comprehensive error handling and l ...
• Data Transformation & Modeling Implement critical data transformation logic, including data cleansing, standardization, enrichment, and business rules application. Support data transformation initiatives aligned strictly to data models (fact and dimension structures). Partner closely with the Data and Business Analyst teams to ensure delivered data is optimally structured for analytics consumption.
• Data Jobs Scheduling & Automation Configure and manage SQL Server Agent jobs alongside ETL scheduling and orchestration tools. Automate data processes to guarantee timely execution of pipelines with minimal manual intervention. Support complex dependency handling between sequential data workflows.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) ITIL Certification Microsoft O365 Platform Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

ทักษะ:

Data Warehousing, Recruitment, Power BI, ETL, SQL

ประเภทงาน:

งานประจำ

• Data Solution Development & Operations (60%) Perform round-the-clock monitoring of data pipelines, ETL processes, and integrations. Ensure high availability of data platforms, dashboards, and reporting systems. Monitor data ingestion pipelines (batch & real-time), data transformation jobs, and dashboard refresh schedules. Validate data freshness, completeness, and timeliness against SLAs. Proactively detect anomalies such as failed jobs, delayed feeds, and data discrepancies.
• Data Quality & Governance (20%) Perform data validation checks focusing on completen ...
• Documentation & Reporting (10%) Maintain runbooks, SOPs, monitoring dashboards, and incident/resolution reports. Produce daily and weekly operational reports tracking system uptime, incident statistics, and SLA compliance. Continuously update process documentation.
• Project Coordination & Ad-Hoc Duties (10%) Convert business needs into technical specifications and establish timelines for job completion. Support the roll-out of new applications, including Design, SIT, UAT, and Training. Handle ad-hoc projects and duties as assigned by department management. Functional & Technical Skills Strong technical knowledge of SQL / data query troubleshooting and a solid understanding of ETL / data pipelines. Hands-on experience with monitoring tools and ITIL-aligned incident management. Background with BI tools and systems, specifically Power BI and the Microsoft BI Stack. Experience in data integration, data warehousing, and big-data-related initiatives (development and implementation). Proficient in performing advanced-level computations on datasets and application lifecycle administration. Strong application troubleshooting, analytical, and problem-solving skills. Business acumen with the ability to understand how businesses function and align with current trends. Exceptional communication and stakeholder management skills.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): ITIL Certification Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) Microsoft O365 Platform Experience: Proven experience supporting multiple sites, time zones, and languages. Attributes: High level of confidentiality, strong customer focus, and a track record of driving results despite obstacles. Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Support build of big data environments that enable analytics solutions on a variety of big data platforms including cloud as required by the client, and create robust documentation of solutions, architecture, automation workflows, and operation procedures.
• Demonstrated ETL solution design and build expertise, work stream management skills, and business consulting acumen.
• Using data analytics tools and techniques to identify patterns, extract outliers, an ...
• Contribute to written deliverables and reporting of outcomes to clients.
• Optimizing existing processes and leverage AI-enabled tools and automation to improve efficiency, quality, and data integrity through appropriate validation and professional judgement.
• Working in project teams to develop data analytics solutions and data-driven technology assets for Audit engagement team and external clients.
• Developing, testing, and validating data solutions features, following development best practices and architecture guidelines.
• Developing competence in a broad range of technologies and frameworks for managing all aspects of the data lifecycle.
• Undertaking technical training to acquire and demonstrate expertise in data analysis and design and build of solutions.
• Keeping abreast of developments across the data and analytics landscape, with the desire to translate cutting-edge techniques and technologies into our project outputs.
• Role Expectations.
• Senior.
• Overseeing an engagement/project - ensure quality of the deliverables and assist less experienced colleague.
• Understanding business knowledge process including Sales, Purchase, Inventory and Accounting.
• Contribute to engagement planning, executing and delivery.
• Build and maintain professional relationships both internally and externally.
• Associate.
• Utilizing obtained skillset to complete the assigned task/assignment in an efficient and effective manner.
• Self-motivated and seeking to gain new knowledge of the business.
• Bachelor's degree from an accredited university or foreign equivalent in engineering, computer science or other quantitative disciplines like statistics, math, or others plus relevant programming experience.
• This role will utilize the candidate's data management and advanced analytics skills. A core competency of technical skills and the ability to quickly develop expertise is essential.
• Database skills - designing and querying relational databases such as Oracle DB, Microsoft SQL Server, etc. Experience in Database Administration is a plus.
• Data manipulation skills - manipulating and cleansing data on a large scale with consideration in fulfilling standards and objectives. This includes ETL and SQL development. Experience in data mart or data warehouse is a plus.
• Programming skills - one or more programming language, e.g. R, Python, C#, Java, VBA.
• Web application skills - familiarity with frameworks such as Django, Flask, FastAPI, React, or similar. Knowledge of APIs, authentication, and web application development fundamentals is a plus.
• Communication skills - Written and verbal skills, and the ability to explain technical analysis to a non-technical audience is essential.
• A desire to understand business problems and to evaluate the results in a business context.
• High degree of personal motivation, ability to self-manage whilst being professional and personable.
• Experience of solving issues and dealing with the uncertainty that can arise in project situations, including having a problem solving and can-do attitude.
• Proficiency in spoken and written Thai and English.
• Involved professionally in Data Analytic procedure.
• Experienced with well-known ERP system such as SAP, Oracle ERP, Microsoft Dynamics.
• We offer the successful candidate an attractive remuneration package and the opportunity to work in a dynamic and exciting environment.
• KPMG Phoomchai Audit Ltd.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Pipeline Development: Design, build, and maintain reliable ETL/ELT pipelines that deliver accurate, complete data from source systems to the data warehouse within agreed timelines.
• Data Modeling: Develop and maintain data models and schemas that are logical, well-organized, and easy for the business to consume.
• Operational Excellence: Keep the platform running: monitor pipeline health, troubleshoot failures fast, and uphold uptime and data availability SLAs.
• Scalability & Efficiency: Build for scale and cost: design solutions that handle growing data volumes without performance degradation, and continuously optimize storage and processing costs.
• Govern and Protect the Data.
• Metadata Management: Maintain data dictionaries and metadata so users across the business can find and understand the information they need.
• Quality Assurance: Implement automated data quality checks (accuracy, completeness, validity) into the pipelines you build, catching issues before they reach decision-makers.
• Compliance: Follow and help enforce the governance framework that protects sensitive company and customer data - supporting our standing target of zero data security incidents and full compliance with PDPA and financial-sector regulations.
• Partner with the Business.
• Requirement Gathering: Sit down with business users to understand their problems and gather requirements - then translate those needs into datasets, pipelines, and data products that actually solve them.
• Proactive Communication: Clarify ambiguous requests, explain trade-offs, and keep stakeholders informed of what's coming and when.
• Data Platform Uptime and Data Availability SLA.
• Data Quality Score across critical datasets.
• Cost Per Terabyte Managed.
• Count of data security incidents (Target: Zero).
• The Ideal Candidate: A Builder Who Owns the Whole ProblemWe are seeking an engineer who doesn't stop at "the pipeline ran." The ideal candidate takes ownership from the business conversation all the way to the delivered dataset: technically strong enough to build robust, scalable pipelines, disciplined enough to document and govern what they build, and communicative enough to work directly with non-technical stakeholders without a translator in between.
• Required Experience & Qualifications.
• Professional Experience: 0-5 years of experience in data engineering, ETL development, or a closely related field. Highly motivated new graduates are strongly encouraged to apply, provided you can demonstrate technical execution through intensive internships, capstone projects, or a robust personal portfolio. Experience in financial services or another regulated industry is a strong advantage.
• Educational Background: A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Statistics, or a related field.
• Core Technical Skills: Exceptional SQL abilities and solid programming skills (Python preferred). You must have hands-on experience - whether professionally or through rigorous academic/personal projects - building and operating ETL/ELT pipelines and working with data warehouses.
• Valuable Additions: Exposure to cloud data platforms, workflow orchestration tools (e.g., Airflow, Dagster), automated data quality tooling, or data catalog/metadata management.
• Regulatory Awareness: A working knowledge of the Personal Data Protection Act (PDPA) and familiarity with financial-sector regulatory requirements is a plus.
• Essential Qualities & Skills.
• A Builder's Mindset: You are passionate about creating and improving - cleaner pipelines, better models, smarter automation.
• End-to-End Ownership: You chase issues to their root cause and fix them so they stay fixed.
• Analytical Skills: The ability to untangle complex data issues and design solutions that hold up under growth.
• Business Curiosity: You want to know why the business needs the data, not just what columns to deliver.
• Communication: The ability to talk requirements with business users in their language and design with engineers in theirs.
• Meticulous & Disciplined: You document what you build, test what you ship, and treat data quality and security standards as non-negotiable.
• Additional.
• This role is based full-time at our Headquarters in Greater Bangkok - Pak Kret.
• Commitment to Excellence: We need hard workers. We believe that building anything great requires a level of focus and dedication that is incompatible with a conventional "work-life balance." We explicitly reject this mindset because it does not lead to extraordinary outcomes. This is a role for those who are passionate about building something great and are willing to dedicate the long hours required to build a data platform the entire company can trust.
• Compensation and Benefits.
• Your actual level and base salary will be determined on a case-by-case basis and may vary based on job-related knowledge, skills, and experience.
• The base salary is just one part of your total rewards package. You will also receive access to comprehensive benefits, paid leave, and other company perks, which will be discussed during the interview process.
• Equal Opportunity Employer: Our company is an Equal Opportunity Employer; employment is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, religion, gender, disability status, age, sexual orientation, gender identity, or any other legally protected status.

ทักษะ:

Social Networking, Data Warehousing, Google Analytics, Cloud Computing, Big Data

ประเภทงาน:

งานประจำ

Design, develop, and maintain BI dashboards to support business decision-making. Gather and analyze user requirements and translate raw data into insightful visual reports. Create reports and interactive visualizations that effectively present complex information. Develop and manage basic ETL processes to prepare data for dashboard use.

ทักษะ:

Flowaccount, SQL, Amazon AWS

ประเภทงาน:

งานประจำ

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3-5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) - in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17-19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, DevOps, Python, English

ประเภทงาน:

งานประจำ

• A successful candidate will be working with our cloud-based Big Data Platform to digest marketplace data either structured or unstructured from different marketplaces in order to facilitate data utilization. The candidate will have to design and implement a strategic way to utilize all the data extracted from several marketplaces.
• The candidate will be also working closely with other application teams and product managers in order to align with other teams and business roadmap.
• Participate in designing and implementing as well as maintaining data pipelines for ...
• Demonstrate continuous improvement by inspecting and adopting new ideas for improving solutions, tools and processes.
• Work closely with members of IT (e.g. Architecture, DevOps and Business Analysts) to ensure the highest quality softwareCoach fellow associate data engineers.
• Capabilities.
• Bachelor Degree from Computer Engineering, Computer Science or related fields.
• Good knowledge of SQL, relational database design and efficient methods for working with large size of data.
• Good knowledge of Python.
• Understanding of fundamental design principles behind data-oriented application.
• Ability to understand business requirements and be able to express them in computer language.
• Ability to communicate in English, both written and oral form.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Accounting, Automation, YouTube, ETL, 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.
• Follow us on.
• LinkedIn.
• and.
• X.
• Like us on.
• Facebook.
• Subscribe our channel at.
• 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.
• Hosting Compute Design Engineering & Implementation.
• Infrastructure & Platform Programming & Automation.
• Infrastructure - Operating Systems.
• 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:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

ประเภทงาน:

งานประจำ

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

ทักษะ:

Flowaccount, SQL, Amazon AWS

ประเภทงาน:

งานประจำ

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) - not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3-5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) - in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners - event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation - coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) - including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17-19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Backbone, Python, DevOps, Apache, SQL, ETL

ประเภทงาน:

งานประจำ

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Google Analytics, TensorFlow, Big Data, Tableau, Python, Hadoop, Kafka, Scala, Java, SQL, English

ประเภทงาน:

งานประจำ

• Develop big data solutions for batch processing and near real-time streaming.
• Retrieve, prepare, and process a rich data variety of data sources.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Triage code problems and data-related issues.
• 3+ years of experience with relational database systems, with expertise in SQL.
• 3+ years of programming experience in Java, Python, Scala or similar.
• 3+ years of experience in coding in data management, data warehousing or unstructured data environments.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience building complex pipelines using automated workflow is a plus, e.g. Luigi, Airflow, Oozie or similar.
• Experience with parallel data processing is a plus, e.g. MapReduce, Hadoop, Spark or similar.
• Experience with streaming technologies is a plus, e.g. Kafka, AWS Kinesis or similar.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, PowerBI, Google Analytics or similar.
• Experience with Machine Learning is a plus, e.g. TensorFlow, NumPy, Scikit-Learn, Mahout or similar.
• Good communication in English.

ทักษะ:

Business Development, Project Management, Data Analysis, SAP, ETL, English, Thai

ประเภทงาน:

งานประจำ

• ABeam Consulting (Thailand) Ltd. is a subsidiary of ABeam Consulting Ltd. headquartered in Tokyo, we have 6,600 Consultants in territories across the world, serve more than 200 clients and cover various industries, strong in Automotive, Consumer Packaged Goods, Food & Beverage, and Leasing, offering End-to-End Service to support our clients to realize their Business Transformation.
• We are Number One SAP Partner in Asia and one of the largest Consulting firms in Thailand.
• About Our Data Management & Analytics Team.
• Our Data Management & Analytics Business Unit offers a one-stop data management service to transform businesses through effective data utilization. Data management roadmaps are used to analyze the current situation of our clients based on industry trends, based on which we evaluate the level of data maturity and then create a road map for data utilization, system re-structuring and organizational reform if necessary.
• Based on more than 100 data analysis cases, we also support advanced data analytics, including topics like the selection and launch of AI services, training programs and other organization setups that clients would prefer to execute in-house.
• Finally, we offer support for full data management platform constructions by combining dashboards, analysis tools, ETL tools, DWH, and others, to supply you with the optimal platform for each individual situation.
• As part of Data Management & Analytics team, you will engage in consulting business with area of: Database and ETL development, BI dashboards development, Project Management, Data Governance, and General IT Skills.
• Lead data related initiatives including business strategy development, proposal development and end-to-end Project delivery planning.
• Manage multiple project teams, define and schedule project tasks / sub-tasks, and ensure their timely completion within the planned timeline and budget.
• Track and report project progress in an effective way and recommend the next course of actions to management team and decision makers across various functional groups.
• Have general understanding of IT tools used for documentation, analysis and presenting results in Corporate environment.
• Have at least 3 10 years of general Project/Program management experience.
• Have experience in database related projects, including data warehousing & business intelligence.
• Having agile project management methodologies experience will be an advantage.
• Have pro-active business development mindset with up to date understanding of latest trends, technologies and consumer needs.
• Have strong networking and clients relationship building skills.
• Experience in business development or develop solutions to clients.
• Good logical thinking.
• Strong communication skills (verbal and written), including the ability to effectively communicate with both technical and non-technical teams.
• Good in English and Thai communication.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, 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.
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• 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.
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• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• 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.

ทักษะ:

Architecture, Automation, TensorFlow, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Data Architecture & Engineering: พัฒนาและดูแล Data Hub (Single Source of Truth) เพื่อรวบรวมและจัดการข้อมูลจากทุกแผนกให้เป็นระเบียบ พร้อมใช้งานสำหรับทุกหน่วยงาน.
• Predictive Modeling: พัฒนาและ Deploy โมเดล Predictive Churn & Sales เพื่อวิเคราะห์พฤติกรรมลูกค้า รักษาฐานลูกค้าสำคัญ และพยากรณ์ยอดขายในอนาคต.
• AI Solution Development: ปรับจูนและพัฒนาระบบ AI Chatbot เพื่อยกระดับประสบการณ์ลูกค้า เพิ่มความเร็วในการตอบกลับ และเพิ่ม Conversion Rate ของการขอเบอร์ลูกค้า.
• Ads & Campaign Analytics: พัฒนาระบบวิเคราะห์ประสิทธิภาพของแคมเปญโฆษณา (Ads Campaign) เพื่อช่วยทีมการตลาดตัดสินใจวางแผนสื่อได้อย่างแม่นยำและเพิ่ม ROI.
• Dashboarding & Reporting: ออกแบบและพัฒนาระบบ Dashboard ที่ใช้งานง่ายและมีประสิทธิภาพสูง เพื่อรองรับการทำงานของฝ่าย Sales, Marketing และ Warehouse ให้เห็นภาพรวมข้อมูลแบบ Real-time.
• Technical.
• Data Engineering Expertise: มีประสบการณ์เชี่ยวชาญในการออกแบบและพัฒนา ETL/ELT Pipelines ที่มีความซับซ้อน รวมถึงการบริหารจัดการข้อมูลด้วย SQL อย่างคล่องแคล่ว.
• Infrastructure & Tooling: มีประสบการณ์จริงในการใช้งาน Cloud Data Warehouse และสามารถบริหารจัดการฐานข้อมูลประสิทธิภาพสูงด้วย ClickHouse เพื่อรองรับการประมวลผลข้อมูลปริมาณมาก.
• Workflow Orchestration: มีความเชี่ยวชาญในการใช้ Apache Airflow เพื่อออกแบบระบบ Automation และควบคุม Workflow ของข้อมูลให้เป็นระบบ เพิ่ม Operational Agility ให้กับทีม.
• Data Architecture: มีความเข้าใจในการวางสถาปัตยกรรมข้อมูล เพื่อรองรับโครงการ Data Hub (Single Source of Truth) และการปรับปรุง IT Infrastructure ใหม่ตามเป้าหมายขององค์กร.
• Strategic Capability: สามารถประยุกต์ใช้ทักษะทางเทคนิคเพื่อขับเคลื่อนโครงการสำคัญ เช่น การสร้าง Predictive Churn & Sales Model, ระบบวิเคราะห์ Ads, และการทำ AI Integration.
• ปริญญาตรีหรือโท สาขาวิศวกรรมคอมพิวเตอร์, วิทยาการข้อมูล (Data Science), สถิติ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Engineering (ETL Pipelines, SQL, Cloud Data Warehouse,Clickhouse, AirFlow).
• มีความเชี่ยวชาญในการพัฒนาและประยุกต์ใช้โมเดล Machine Learning (Python, Scikit-learn, TensorFlow/PyTorch).
• มีประสบการณ์ในการสร้าง Dashboard (เช่น Power BI, Tableau, หรือเครื่องมือ BI อื่นๆ).
• มีความเข้าใจในการทำงานร่วมกับทีมธุรกิจ (Business Stakeholders) และสามารถสื่อสารข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• Bonus Skills: ประสบการณ์ด้าน LLM (Large Language Models) หรือระบบ Chatbot และความรู้ด้านการทำ Web Scraping หรือ API Integration.