Data Engineer
Career at Mitr Phol
At Mitr Phol, you will be empowered to take on meaningful challenges and grow across diverse business areas. We invest in your learning and career development, rewarding strong performance with clear progression opportunities and long‑term stability.
We value collaboration, openness, and flexibility, while genuinely caring for your well-being. As part of a company known for its strong reputation and commitment to sustainability, your work will create impact far beyond the bottom line.
About Mitr Phol Group
Mitr Phol Group is a leading agri-business with nearly 70 years of history. As Thailand's largest sugar producer and the world's fourth-largest, we are also active in renewable energy, wood-substitute materials, and consumer and bio-based products.
We operate with integrity, inclusivity, and sustainability at our core—aligned with the UN Sustainable Development Goals (SDGs). Our philosophy, "Cultivating for All," reflects our belief in the dignity and potential of people, and our commitment to developing leaders who create meaningful value.
Mitr Phol is recognized as one of Thailand's top employers, having received the Top Employer Thailand certification for multiple consecutive years from the Top Employers Institute (2023-2026) in recognition of our excellence in HR practices.
คำอธิบายลักษณะงาน:
Fix Term Contract 2 Years Short Description
To design, build, and continuously optimize our core data infrastructure and pipelines. This role will take ownership of end-to-end data architectures, ensure data reliability and governance, and collaborate closely with Analytics, Data Science, and cross functional teams to enable process automation and data-driven decision-making across the organization.
Experience มีประสบการณ์ 3 ปีขึ้นไป ในด้าน Data Engineering FC - Big Data Management and Analytics Role & Responsibility (R&R)- Architecture & Pipeline Design: Design, build, scale, and maintain robust batch and real-time data pipelines (ETL/ELT) to ingest data from diverse sources.
- Data Modeling & Storage: Architect scalable data warehouses, data lakes, and lakehouses using modern schema modeling techniques (e.g., Star/Snowflake schema).
- Performance & Optimization: Continuously monitor, troubleshoot, and optimize data infrastructure for query speed, cost efficiency, and reliability.
- Data Quality & Governance: Implement automated data validation, testing frameworks, CI/CD pipelines, and data governance policies (access control, metadata management, lineage).
- Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, and Business Analysts to transform raw data into analytics-ready datasets and feature stores.
- Technical Leadership: Conduct code reviews, and establish best practices for engineering excellence across the team.
Knowledge/ Ability
- Strong analytic skills related to working with unstructured datasets.
- Experience with data warehouse & processing : Microsoft Fabric, Redshift.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Proficiency in scripting languages: SQL, Python, Java, Scala.
- Data Modeling & Transformation: Deep understanding of dimensional modeling and experience with modern transformation frameworks.
Computer Science, Information Technology, Data Engineering or related fields.