Remote
•
Today
Key Responsibilities: Design, develop, and execute ETL test cases and test scripts to validate data pipelines and transformations. Perform data validation and reconciliation between source and target systems using Python and PySpark. Develop data quality checks using Great Expectations and integrate them into CI/CD pipelines. Collaborate with data engineers and analysts to test DBT models and ensure data model integrity. Write and maintain automated testing frameworks for data pipelines. Trouble
Easy Apply
Contract, Third Party
Depends on Experience