Data Engineer

Project

Data Processing
We are looking for a Data Engineer with 2–3 years of experience to build and maintain scalable data pipelines, manage data processing, and develop and maintain data warehouses. Work Mode: Hybrid (3 days onsite per week) Employment type: Contract 1-year

Job Function:

Job Function:
Analyst
Job Sub Function:
Database
No. Vacancy:
1
Salary (THB):
35,000 - 50,000 (Up to experiences and skills)
Career Level:
Middle Level

Job Description:

  • Design, develop, and maintain data pipelines to support data integration, processing, and analytics.
  • Develop and optimize SQL queries for data extraction, transformation, and analysis.
  • Use Python to process, clean, and transform data from various sources.
  • Develop and maintain ETL processes to ensure efficient and reliable data integration.
  • Support Data Warehouse development, including data loading, storage, and data quality validation.
  • Monitor and troubleshoot data pipelines to ensure data accuracy, consistency, and reliability.
  • Collaborate with Data Analysts, BI teams, and other stakeholders to understand data requirements and support reporting needs.
  • Support data preparation and integration for Power BI dashboards and reports.
  • Prepare and maintain technical documentation related to data pipelines, data processing, and ETL workflows.

    • Qualifications & Requirements:

  • Bachelor’s Degree in Computer Engineering, Software Engineering, Information Technology, Data Engineering or any relevant field.
  • 2–3 years of hands-on experience as a Data Engineer or in a related data engineering role.
  • Strong SQL skills, including writing complex queries, joins, and data transformation.
  • Proficiency in Python for data processing, data cleaning, and transformation.
  • Experience working with Data Warehouse platforms and data storage solutions.
  • Hands-on experience with ETL tools and data integration processes.
  • Basic knowledge of Power BI, including data preparation and supporting dashboard development.
  • Good understanding of data pipelines, data quality, and data processing workflows.
  • Strong analytical and problem-solving skills, with attention to data accuracy and quality.
  • Ability to read and write English technical documentation.
  • Experience with Azure Data Factory (ADF), Microsoft Azure, or Snowflake would be an advantage.
  • Fluent in Thai with good documentation skill in English.

    • Welfare Benefits:

    Data EngineerData EngineerData EngineerData EngineerData EngineerData Engineer


    Contact Person

    Alangkarn Sangsawat
    Alangkarn Sangsawat
    (Oat)
    091-119-4532
    alangkarn.s@aware.co.th

    Phaholyothin Place 24th floor, Phaholyothin Road, Samsennai, Phayathai, Bangkok 10400

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