Data Engineer

1 day ago

Bangkok, Bangkok, Thailand Ek-Chai Distribution System Co., Ltd. Full time

Key Responsibilities

1. Data Pipeline Development & Maintenance

  • Design, develop, and maintain ETL/ELT pipelines across multiple data sources (internal/external).
  • Optimize data workflows for performance, reliability, and scalability.
  • Monitor daily batch processes and resolve data loading or quality issues in a timely manner.

2. Data Architecture & Modeling

  • Develop and maintain data models (conceptual, logical, physical) supporting analytics and reporting needs.
  • Ensure data structures follow best practices in performance, storage, and governance.
  • Work with Data Architects to improve platform architecture and data standards.

3. Data Quality & Governance

  • Build data validation rules, quality checks, and automated alerting.
  • Ensure data accuracy, completeness, and consistency across pipelines.
  • Implement data governance practices including documentation, lineage, and metadata management.

4. Collaboration with Stakeholders

  • Work closely with Data Analysts, BI Developers, Product Owners, and business teams to understand data requirements.
  • Support analytics teams with clean, structured datasets for dashboards and modelling.
  • Collaborate with IT/Infrastructure on data platform performance and security.

5. Platform & Technology Operations

  • Manage and optimize data storage systems (Data Lake, Data Warehouse).
  • Leverage cloud platforms (Azure, AWS, GCP) or on-prem solutions as applicable.
  • Support CI/CD processes for data pipelines and environment management.

Qualifications

  • Bachelors degree in Computer Science, Engineering, Information Systems, or related field.
  • 2–5 years experience in Data Engineering or related roles.
  • Proficiency in SQL and data modelling.
  • Experience with ETL/ELT tools (e.g., Databricks, ADF, SSIS).
  • Programming skills: Python, PySpark or similar.
  • Familiarity with cloud platforms preferred Azure
  • Knowledge of data warehouse/lakehouse concepts (Delta Lake, Snowflake).
  • Experience with version control (Git) and CI/CD pipelines.

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