Jobs → Data & Analytics → Data QA Engineer

About the Role We are looking for an experienced Data QA Engineer to join our team. This role requires strong expertise in Data Quality Testing, Azure Databricks, SQL, Python, and ETL Testing. Key Responsibilities • Perform Data Quality Testing and ensure data integrity • Utilize Azure Databricks for data validation tasks • Write SQL queries for data analysis and validation • Conduct ETL Testing to verify data transformations • Perform Source-to-Target Data Validation • Develop Python scripts for data validation • Track defects, perform RCA, and ensure defect closure • Create and maintain Test Cases and Test Evidence • Ensure Traceability of test cases • Generate QA Reporting and ensure Release Readiness Requirements • 5+ years of experience in Data QA or Data Quality Testing • Strong expertise in Azure Databricks • Proficient in SQL for data analysis • Experience with ETL Testing • Python scripting for data validation • Knowledge of Data Reconciliation and Source-to-Target Data Validation • Understanding of Data Integrity and Data Quality principles • Experience with Defect Tracking, RCA, and Defect Closure • Familiarity with Test Cases, Test Evidence, and Traceability • QA Reporting and Release Readiness experience