WHAT THEY'LL DO
• Perform end-to-end data validation across source and target systems
• Validate ETL pipelines, transformations and data accuracy
• Perform data reconciliation and identify data discrepancies
• Use SQL, Python and Databricks for data validation and analysis
• Track defects through closure and perform RCA for data issues
• Maintain complete test evidence and traceability
• Provide timely QA status updates and highlight risks and dependencies
• Support release readiness and QA sign-off activities
MANDATORY SKILLS
• Strong experience in Data QA / data quality testing
• Hands-on experience with Azure Databricks
• Strong SQL skills
• Good experience in ETL testing
• Hands-on experience in data reconciliation and source-to-target data validation
• Good experience in Python scripting for data validation/testing
• Strong understanding of data quality, data integrity and validation
• Experience in defect tracking, RCA and defect closure
• Experience preparing test cases, test evidence, traceability and QA status reports
• Ability to independently manage QA activities, dependencies and release readiness
