Platform Services team seeks a Senior Quality Assurance professional with 5+ years QA experience, including 3+ years in ETL and Data Warehouse testing. Responsibilities include end-to-end ETL and data warehouse testing, SQL-based data validation, test data management, business requirement analysis, defect tracking, and mentoring junior testers. Requires strong knowledge of ETL concepts, data warehousing, advanced SQL, STLC, test automation, and defect management tools such as Azure DevOps, TFS, or VSTS. Experience in Agile or hybrid delivery models is needed. The role involves collaboration with business and technical teams to ensure data quality and continuous improvement in testing processes. Location: Bengaluru, Karnataka, India.
What you'll do
Perform end-to-end ETL and Data Warehouse testing ensuring data accuracy, completeness, and consistency
Validate data aggregation, marts, and dimensional models using advanced SQL and data analysis techniques
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Review test cases, SQL scripts, and validation logic to ensure alignment to quality standards before peer reviews
Participate actively in the Software Testing Life Cycle (STLC) including test planning, execution, defect tracking, and reporting
Estimate QA effort, identify risks, and provide input for test planning and scheduling
Use test management and defect tracking tools to manage test execution and report test metrics
Mentor and guide junior testers providing technical direction and best-practice guidance
Collaborate with Business, Development, and Architecture teams to resolve data quality issues and clarify requirements
Contribute to continuous improvement initiatives in testing processes, data quality practices, and automation adoption
Manage multiple priorities in a fast-paced, dynamic environment
Requirements
Minimum 5+ years of Quality Assurance experience in IT projects
At least 3+ years of hands-on ETL and Data Warehouse testing
Strong knowledge of ETL concepts, data warehousing architecture, aggregation logic, and data marts
Advanced SQL proficiency for data validation and analysis
Solid experience in test data creation, data analysis, and data validation techniques
Solid understanding and hands-on experience with STLC and data-centric testing methodologies
Experience working with test management and defect management tools
Strong analytical, problem-solving, and communication skills
Ability to think end-to-end from a business and data flow perspective
Experience with test automation and scripting languages
Working knowledge of Azure DevOps / TFS / VSTS or similar defect management tools
Exposure to data quality reporting, test metrics, and dashboards
Experience working in Agile or hybrid delivery models
Tech stack
ETLData WarehouseSQLAzure DevOpsTFSVSTStest automationscripting languages
Benefits
Opportunities for growth through learning, development and career advancementFocus on employee well-beingCollaborative work environmentFlexibility to balance work and personal lifeInclusive and diverse workplace
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