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, automotive ...
• 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:

ETL, SQL, Python

ประเภทงาน:

งานประจำ

• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingestion from a wide array of sources.
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Leadership Skill, Cloud Computing, ETL

ประเภทงาน:

งานประจำ

• Designing the target Lakehouse architecture and end-to-end data flows.
• Defining data models, canonical structures and reusable data-product patterns.
• Designing scalable and reusable batch, CDC and streaming ingestion patterns.
• Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access.
• Assessing and aligning the solution with existing enterprise and regional architecture standards.
• Supporting source-to-target mapping, data migration and integration design.
• Providing technical leadership and guidance to Data Engineering teams throughout implementation.
• Supporting solution design reviews, testing, production readiness and BAU handover.
• What We're Looking For.
• 6+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture.
• Experience designing enterprise data platforms and data products, particularly within financial services or Asset Management company, would be highly advantageous.
• Experience in end-to-end ownership of the data architecture and shape a modern, reusable data platform that can scale across multiple business use cases.
• Experience in Asset Management company, fintech, or other regulated industries.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Python, Cloud Computing, ETL

ประเภทงาน:

งานประจำ

• Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems.
• Implementing Bronze, Silver and Gold data layers, including data cleansing, transformation and standardisation.
• Developing reusable data pipelines and supporting data product implementation.
• Implementing data quality, reconciliation, validation and monitoring controls.
• Supporting data migration, integration testing, UAT and production release.
• Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards.
• Supporting knowledge transfer and BAU handover.
• What We're Looking For.
• 4+ years of experience in data engineering or related roles.
• Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD.
• Experience in financial services especially asset management or large-scale data transformation, would be advantageous.
• Experience in workong on an end-to-end enterprise data transformation, from source ingestion through to governed data products and business reporting.
• Experience in asset management company, fintech, or other regulated industries.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Apache, Python, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows.
• Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture.
• Ensure data quality, reliability, and availability across all data products.
• Collaborate with Data Architects to implement data models and architecture standards.
• Support data governance, metadata management, and lineage tracking.
• Ensure pipelines comply with PDPA, data classification, and security requirements.
• Monitor pipeline performance and troubleshoot data issues in production environments.
• Work closely with Data Scientists and Analysts to deliver model-ready datasets.
• Participate in code reviews and promote engineering best practices.
• What We're Looking For.
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and Python for data transformation and processing.
• Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Familiarity with data modeling concepts and distributed data systems.
• Understanding of data governance, data quality, and security practices.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions,.
• meetings, and written documentation.
• Experience in banking, fintech, or other regulated industries.
• Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs.
• Familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
• Exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
• Experience working in Agile/Scrum environments.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ทักษะ:

Python, Cloud Computing, SQL

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable data solutions that support reporting, self-service analytics, and advanced analytics.
• Work primarily on the organization's data platform, currently centered on Snowflake and IICS, to transform raw data into trusted, business-ready data assets.
• Partner closely with Data Analysts and source-system teams to translate business needs into data models, pipelines, and reusable data products.
• Use AI-assisted development practices across the full delivery lifecycle to improve design quality, development efficiency, testing, documentation, and technical communication.
• Apply modern data engineering practices while maintaining strong fundamentals in data modeling, ETL/ELT, orchestration, and data quality.
• Design, develop, and maintain data pipelines, transformations, and orchestration workflows that ingest, curate, and publish data for analytics use cases.
• Build and enhance data models based on business analysis and reporting requirements.
• Work with structured and semi-structured data from enterprise systems and files, including relational databases, JSON, and XML.
• Collaborate with Data Analysts, source-system developers, and business stakeholders to define requirements and deliver fit-for-purpose data solutions.
• Improve engineering productivity by using AI tools for code support, testing framework creation, documentation, diagramming, and solution exploration.
• Support data quality, performance optimization, maintainability, and operational reliability of data solutions.
• Enable business reporting, self-service analytics, and foundational data assets for advanced analytics and data science teams.
• Follow established organizational standards for governance, security, access control, and data handling.

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.

ทักษะ:

Data Analysis, Architecture, Labor law, Teamwork, Big Data

ประเภทงาน:

งานประจำ

The Data Engineer will design, build, and maintain scalable data infrastructure to support real-time analytics, robotics telemetry, and AI model training. This role is key to ensuring high data availability, integrity, and performance for subsea IRM operations. The ideal candidate is skilled in managing data pipelines that interface with both hardware systems and cloud platforms. Duties and Responsibility Build and maintain data pipelines to collect, transform, and store data from robotic systems and sensors. Design data architecture to support real-time and historical data analysi ...

ทักษะ:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third party tools and logs.
• Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
• Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
• Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
• Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high volume CEG data (calls, chats, emails, cases, events).
• Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).
• Data Tools & Product Development.
• Design and build data tools and internal products for CEG (e.g., self service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
• Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
• Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
• Apply solid software engineering practices testing, code reviews, CI/CD, observability to data products so they are reliable, maintainable, and easy to extend.
• At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.
• Data Analytics & Business Impact.
• Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
• Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self service access to data.
• Perform deep dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data driven recommendations.
• Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
• Communicate findings in simple, business friendly language, including clear implications and recommended next steps.
• Stakeholder & Team Collaboration.
• Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
• Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
• Mentor junior and mid level team members on data engineering, analytics, and software engineering best practices.
• Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
• At Staff level, influence cross team architecture and ways of working, making sure CEG's data ecosystem scales with business growth.
• Required.
• 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data driven environment (Staff level typically 10+ or equivalent scope/impact).
• Strong SQL skills (complex joins, window functions, aggregation, query optimization).
• Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
• Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
• Experience building production grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
• Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
• Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
• Ability to communicate complex topics in simple, concise language to non technical stakeholders.
• Preferred.
• Experience with event driven data (logs, clickstream, customer journey, contact flows, tracking data).
• Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
• Experience with A/B testing, experimentation platforms, or causal analysis.
• Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
• Experience in online consumer products, travel, e commerce, or marketplaces.
• Hands on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
• Prior experience in a Staff or Tech Lead role, driving technical direction and mentoring multiple engineers/analysts.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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. 2. Data Quality & Governance (20%) Perform data validation checks focusing on completeness, accuracy, and c ...
• 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:

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:

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

ประเภทงาน:

งานประจำ

• As a global medical device company originating from Japan, we pursue reliable quality and technology to contribute to healthcare in more than 160 countries and regions around the globe. We promise to walk alongside healthcare professionals to continue to make great contribution to society, now and into the future. Summary of the Role The ICT Regional Data Integration is focused on Design, develop, and maintain robust, scalable, and reliable ETL pipelines using Microsoft SQL Server technologies (SSIS), ensuring efficient data ingestion, transformation, and integration across enterpr ...
• Responsibilities 1. 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 logging. Data Ingestion: Develop and manage batch ingestion (scheduled ETL jobs) and incremental/delta data loads. Systems Integration: Seamlessly integrate data from SQL Server, external databases, flat files (CSV, Excel), APIs, and third-party systems while ensuring data consistency across multiple source systems. Platform Onboarding: Support the onboarding of new data sources into the core data platform. 2. 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. 3. 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:

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:

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.
• Analysis"}]; jobDataHidden.secondarySkills = [{"key":"90d94a8dcd333d3ba54c8fc07e3183ec","value":"Publish Subscribe"},{"key":"07a0a4bf56013ec3a87a8a8e19871a2e","value":" ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Recruitment, Leadership Skill, Big Data, Tableau

ประเภทงาน:

งานประจำ

• Act as a partner and consultant to engineering managers and leaders: translate.
• stakeholder and engineering questions into measurable metrics/information such.
• as developer velocity, cost efficiency, and code quality, and keep those definitions.
• consistent across reports.
• Design, build, and maintain ETL/ELT transformations, including Spark/Python.
• workflows and warehouse models, so data is accurate, timely, tested, and fit for.
• reporting. As a Senior, review others' pipeline and metric work, raise delivery.
• standards, and unblock the team.
• Analyze large datasets with SQL and Python to support engineering and operational.
• decisions.
• Design and maintain dashboards and visual reports so engineering managers and.
• leaders can explore metrics (for example developer velocity, cost efficiency, and.
• code quality) without a ticket for every chart.
• Improve data reliability through validation, quality checks, observability, production.
• troubleshooting, and query performance tuning. Own published metrics: explain.
• filters and grain, flag numbers that should not be trusted, and recommend next.
• steps.
• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL.
• development, testing, refactoring, analysis, pipeline work, and documentation, and.
• reject unsafe or unverified output before it reaches production or stakeholders.
• WHAT YOU'LL NEED TO SUCCEED.
• 5+ years in business intelligence, analytics, and/or data engineering, with.
• experience in both stakeholder consulting and hands-on pipeline or data-product.
• work.
• Advanced SQL (joins, window functions, and performance on large datasets).
• Strong Python skills (or similar) for building data pipelines.
• Experience with ETL/ELT and orchestration (for example Kubeflow or similar).
• Strong analytical thinking: comfortable framing business questions, exploring data,.
• and turning results into clear insights.
• Experience building dashboards or visual reports for stakeholders.
• Ability to switch context between stakeholder discussions and hands-on technical.
• work metrics definition/analysis one day, ETL or data modeling the next.
• Practical AI-assisted development: generate, review, test, and own the result. You.
• can explain what you trusted AI to draft and what you verified yourself.
• Clear written and verbal English, and the ability to work independently with.
• engineers and leaders in an agile environment.
• IT'S GREAT IF YOU HAVE.
• Experience with software-delivery practices such as Agile/Scrum and CI/CD.
• (GitHub Actions, GitLab CI, or similar).
• Interest in developer productivity or engineering analytics.
• Experience with common data platforms / big data technology (e.g., BigQuery,.
• Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Hands-on experience with visualization or data-serving UIs such as Apache.
• Superset, Tableau, or a lightweight web app.
• Experience building APIs or internal data products beyond dashboards, not only ad-.
• hoc analysis.
• A degree in Computer Science, Engineering, Information Systems, or equivalent.
• practical experience.
• Please review our Hiring Process Guidelines before your interview click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Warehousing, Power BI, QlikView, Tableau, Oracle

ประเภทงาน:

งานประจำ

• Design, develop, and implement comprehensive BI solutions, including dashboards, reports, and visualizations, using tools like Power BI, Tableau, or QlikView. Develop and maintain complex SQL queries, stored procedures, and ETL processes to ensure data integrity and availability. Collaborate with business stakeholders to understand their needs and translate them into technical requirements. Design and develop data models and schemas that support reporting and analytics. Maintain and optimize the data warehouse environment to ensure performance, scalability, and reliability. Impleme ...
• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. 5+ years of experience in business intelligence development, data warehousing, and ETL processes. Proficiency in BI tools such as Power BI, Tableau, QlikView, or similar. Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL). Experience with data modeling tools (e.g., ER/Studio, ERwin). Solid understanding of data warehousing concepts, data governance, and data quality best practices. Experience with cloud-based BI and data solutions (e.g., Azure, AWS, Google Cloud) is a plus. Strong analytical, problem-solving, and critical thinking skills. Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. Ability to manage multiple tasks and projects simultaneously while meeting deadlines. Growth with Tech leader company. Apply here!.

ทักษะ:

Big Data, SQL

ประเภทงาน:

งานประจำ

Welcome! Work Independently or in team to provide big data infrastructure to solve big data requirement in mid-to-large organization. Develop end-to-end data analytics processes including, integrate, transform, analyze and visualization. By using our big data software. Handle structured (SQL), ensuring proper storage and retrieval of Big data. Work closely with Data Analysts, and Software Engineers to ensure smooth data operations and provide the necessary infrastructure for data-driven decision-making. Growth with Tech leader company. Apply here!.

ทักษะ:

Architecture, Automation, Big Data, Python, Docker, Kafka, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Pipeline & Architecture.
• ออกแบบและสร้างท่อส่งข้อมูล (ETL/ELT Pipelines) ทั้งแบบ Batch และ Real-time.
• เชื่อมต่อข้อมูลจากแหล่งต่าง ๆ เช่น Database, REST APIs, และ Message Queues.
• ออกแบบและวางรากฐานโครงสร้างข้อมูล (Data Schema) เพื่อรองรับการทำ Data Analytics เชิงลึก พร้อมทั้งวางแผนและบริหารจัดการการพัฒนาเครื่องมือภายใน (Internal Tools).
• ตรวจสอบและแก้ไขปัญหา Query ที่ทำงานช้า (Slow Query).
• ออกแบบ Index และโครงสร้างข้อมูลเพื่อเพิ่มประสิทธิภาพการดึงข้อมูล.
• Data Quality & Monitoring.
• ตรวจสอบความถูกต้อง (Data Validation) และความสะอาดของข้อมูลก่อนนำเข้าสู่ระบบ.
• สร้างระบบ Monitoring และ Alerting เมื่อระบบ Pipeline เกิดข้อผิดพลาด รวมถึงพบความผิดปกติของ Data.
• DataOps & Automation.
• ใช้ GitLab CI/CD ในการทำ Automated Testing และ Deploy ระบบ Pipeline.
• จัดการ Containerization ด้วย Docker เพื่อให้ระบบทำงานได้เสถียรในทุก Environment.
• Collaboration & Documentation.
• ทำงานร่วมกับ Data Analyst และทีม Developer เพื่อเปลี่ยนความต้องการทางธุรกิจให้เป็น Technical Solution.
• จัดทำเอกสาร Data Dictionary และ Data Lineage เพื่อความโปร่งใสของที่มาข้อมูล.
• ทักษะทางเทคนิค (Technical Skills).
• Languages: Advanced SQL (Window Functions, CTEs), และ Python (Pandas, PySpark).
• Concepts: เข้าใจหลักการ Data Warehouse, Data Lake, และ Big Data สถาปัตยกรรมต่าง ๆ.
• Cloud: มีประสบการณ์ใช้งาน Cloud Data Warehouse และ Cloud Storage (AWS, Azure, หรือ GCP).
• Version Control: ใช้งาน Git (GitLab, GitHub) ได้คล่องแคล่ว (Branching, Merge Request).
• Data Structures & Algorithms: เข้าใจพื้นฐานในระดับที่สามารถออกแบบโค้ดที่มีประสิทธิภาพ.
• ทักษะเพิ่มเติม (จะพิจารณาเป็นพิเศษ).
• Streaming: มีความเข้าใจระบบ Message Broker เช่น Kafka หรือ RabbitMQ.
• Orchestration: เคยใช้งานเครื่องมือจัดการลำดับงาน เช่น Airflow หรือ Prefect.
• Tools: มีประสบการณ์การใช้ dbt (Data Build Tool) ในการจัดการ SQL Models.
• ผู้ถือสัญชาติไทยเท่านั้น.
• วุฒิการศึกษาระดับปริญญาตรีในสาขา Computer Engineering, IT หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1-3 ปี (หากเป็นเด็กจบใหม่ ต้องมี Portfolio หรือโปรเจกต์ที่เกี่ยวข้องอย่างชัดเจน).
• มีทักษะการคิดเชิงตรรกะ (Logical Thinking) และความสามารถในการสื่อสารเรื่องเทคนิคให้คนทั่วไปเข้าใจได้ง่าย.
• มีทักษะด้านการสื่อสารและการประสานงานที่มีประสิทธิภาพ.
• มี Growth Mindset.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• แชร์.
• Facebook.
• Line.
• LinkedIn.
• X (Formerly Twitter).
• Whatsapp.
• Email.

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.

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.