Data Engineer (Governance)

Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.

We are looking for potential candidates who are eager to learn and grow to join our young talent team.

• →Design and implement data quality frameworks, validation rules, metrics, and automated monitoring.
• →Develop solutions for data anomaly detection and data quality issue analysis.
• →Build and maintain metadata repositories and end-to-end data lineage across data pipelines.
• →Integrate data quality and metadata solutions with governance tools
• →Support implementation of data governance policies, standards, and controls across the data lifecycle.
• →Design and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• →Optimize data pipelines for hybrid data platforms (on-premises and cloud).
• →Collaborate with Data Stewards, Analysts, and Governance teams to align technical solutions with business needs.
• →Mentor junior engineers and promote best practices in data engineering and governance.

• 5–10 years of experience in Data Engineering, with exposure to data quality, metadata, lineage, or data governance.

• Strong skills in Python and SQL (Scala is a plus).
• Experience with PySpark, dbt, or modern data processing frameworks.
• Hands-on experience with ETL/ELT tools such as Informatica IDMC, Talend, or Apache NiFi.
• Experience with metadata and governance tools (e.g., Informatica EDC, Axon, Collibra, Alation).
• Familiarity with data platforms such as Databricks, Snowflake, Oracle, SQL Server, and data lake/lakehouse architectures.
• Experience working in hybrid or multi-cloud environments (Azure, AWS, GCP).
• Experience applying Generative AI / LLMs for metadata automation, data quality improvement, or anomaly detection.

• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Ability to mentor and work effectively in cross-functional teams.