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QA Data Engineer

Yesterday 2026/08/28
Other Business Support Services
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Job description

We are looking for a Data QA Engineer with 3+ years of experience in data validation, ETL testing, and data test automation. The role focuses on ensuring data accuracy through automated data validation, SQL and Python-based testing, and data quality automation frameworks across cloud and on-prem data platforms.




Responsibilities:




  • Perform Data QA, data validation, database testing, and data migration testing
  • Execute ETL testing and Source-to-Target (STT) validation
  • Perform data reconciliation and data profiling
  • Develop automated data validation using SQL automation scripts and Python
  • Build and maintain ETL test automation and reusable validation scripts
  • Implement data reconciliation automation and API data validation
  • Use PyTest / unit testing frameworks for data test automation
  • Integrate data tests with CI/CD pipelines and support DevOps for data testing
  • Validate data across Snowflake, Redshift, BigQuery, and relational databases

Qualifications:




  • 3+ years of experience in Data QA / Data Testing
  • Strong expertise in SQL (advanced queries)
  • Hands-on experience with ETL tools (Informatica, Talend, DataStage, SSIS)
  • Experience with SQL Server, Oracle, MySQL, PostgreSQL
  • Proficiency in Python-based data validation and test automation
  • Experience with Power BI / Tableau for data validation
  • Strong command of Excel (advanced)
  • Understanding of CI/CD integration and DevOps practices for data testing



This job post has been translated by AI and may contain minor differences or errors.
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