Participate in end-to-end testing of large-scale Data projects, focusing on Data Warehouse, Data Platform, Data Integration, BI/Reporting, and data systems serving national-scale and large enterprise environments; solving complex data and Big Data challenges. Analyze requirements, data design documents, Data Mapping, Data Flow, and data processing workflows to develop appropriate Test Scenarios/Test Cases. Perform Data Quality Testing to validate data accuracy, completeness, consistency, and integrity. Use SQL to query, validate, reconcile, and verify data. Identify, analyze, document, and track defects; collaborate with BA, Data Engineers, Data Analysts, PMs, and relevant stakeholders to resolve data quality issues. Participate in Integration Testing, Regression Testing, and UAT, and support customer acceptance activities. Perform API Testing and ETL/ELT Testing, including data reconciliation and validation between source and target systems; execute test scripts as required. Log and track defects using Jira or other project management tools, reproduce issues, and report testing progress to the PIC and Project Manager. Test reports, evaluate data quality, and propose solutions to improve testing efficiency and overall project quality.