Job Description
Lead QA strategy for ETL and Data Warehouse testing on Azure
Design and execute test cases for data ingestion, transformation, and storage
Perform functional, integration, and regression testing
Validate data accuracy and reconciliation using advanced SQL queries
Implement automated data testing using Python and PySpark
Perform hands-on testing for pipelines built on Azure Databricks
Collaborate with cross-functional teams including data engineers and product owners
Manage defects, test execution, and reporting activities
Drive continuous improvement in QA processes and automation
Provide mentoring and technical guidance to QA team members
Design and execute test cases for data ingestion, transformation, and storage
Perform functional, integration, and regression testing
Validate data accuracy and reconciliation using advanced SQL queries
Implement automated data testing using Python and PySpark
Perform hands-on testing for pipelines built on Azure Databricks
Collaborate with cross-functional teams including data engineers and product owners
Manage defects, test execution, and reporting activities
Drive continuous improvement in QA processes and automation
Provide mentoring and technical guidance to QA team members
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