Key Responsibilities:
Collaborate with Data Engineers and Analysts to understand business requirements and ETL processes.
Design, develop, and execute comprehensive test cases, test plans, and test scripts for Databricks ETL pipelines.
Perform data validation, data quality checks, and ensure data integrity across multiple systems.
Verify unity catalog implementation and build data governance scenarios and test them
Automate testing processes for large datasets using tools like PySpark, SQL, and Databricks notebooks.
Work on performance testing and optimization of ETL jobs.
Perform API testing by identifying the endpoints, request methods, and expected responses and build test scenarios and test data to cover all possible scenarios
Identify, document, and track defects and drive them to resolution.
Contribute to continuous improvement of QA processes and best practices.
Ensure compliance with data governance and security policies.
Build and maintain the end to end test management suite by leveraging the right test management tools
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