The ETL QA Engineer will develop and execute test cases to validate ETL data pipelines, perform data quality checks, and conduct various testing types including regression and performance testing. The role focuses on automating testing for data integrity and pipeline functionality.
ETL QA Engineer
Experience – 5+ Years
Job Mode – Full time
Work mode – Remote
Responsibilities:
- Develop and execute test cases to validate data pipelines and transformations.
- Perform data quality checks to ensure accuracy and completeness of migrated data.
- Conduct regression, performance, and UAT testing across Dev, UAT, and Prod environments.
- Automate testing for pipeline functionality and data integrity.
Skills & Qualifications:
- Strong experience in testing ETL pipelines, particularly on Databricks and BigQuery.
- Familiarity with data validation frameworks and automated testing tools.
- Proficiency in Python/SQL for creating test scripts.
- Knowledge of GCP services and pipeline orchestration workflows.
Top Skills
Python
SQL
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