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Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements QA Engineer with 3–5 years of experience in Data Conversion, Data Migration, and Reporting Validation. Perform functional, data validation, data conversion, migration, integration, and regression testing. Analyze source and target data structures and understand data mapping and transformation rules. Create detailed test scenarios, test cases, test data, and validation checklists. Validate data migration and conversion from source systems to target systems. Perform source-to-target data validation, completeness and accuracy checks, transformation validation, reconciliation, duplicate and missing-data validation, data type and format validation, and record count validation. Execute ETL and data migration testing and validate transformation logic. Write and execute SQL queries for data validation and reconciliation. Validate reports, dashboards, and BI outputs against source and transactional data. Test report calculations, filters, sorting, aggregations, totals, and business rules. Validate scheduled reports and data refresh processes. Identify discrepancies between source data, converted data, and reports. Log and track defects using JIRA or similar tools. Perform defect retesting and regression testing after fixes. Participate in defect triage with developers, data engineers, business analysts, and reporting teams. Prepare data validation, reconciliation, and test execution reports. Support UAT, production migration, and post-migration validation activities. Hands-on experience in Data Conversion/Data Migration Testing. Strong knowledge of SQL and database testing. Experience in source-to-target data validation and reconciliation. Good understanding of ETL concepts and data transformation. Experience testing reports, dashboards, and data extracts. Strong understanding of data mapping, transformation, validation, reconciliation, quality, and integrity. Experience with JIRA or similar defect-management tools. Good understanding of STLC, SDLC, test case design, and defect lifecycle. Experience with one or more reporting/BI tools is preferred: Power BI, Tableau, Looker, SAP BusinessObjects, SSRS, Qlik, Other enterprise reporting platforms The candidate should be able to validate: Report data accuracy, Calculated fields and measures, Aggregations and totals, Filters and parameters, Drill-down/drill-through functionality, Data refresh, Report-to-database reconciliation, Export functionality such as Excel/CSV/PDF Experience with ETL tools such as Informatica, Talend, SSIS, Azure Data Factory, or similar. Knowledge of Oracle, SQL Server, PostgreSQL, MySQL, or other relational databases. Exposure to API testing and JSON/XML validation. Experience with large-volume data validation. Exposure to cloud data platforms such as Azure, AWS, or Snowflake. Experience in Retail, eCommerce, Supply Chain, Finance, or ERP applications. Exposure to automation using Python, Java, Selenium, or similar tools. Experience working in Agile/Scrum environments. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline. Preferred Industry Experience: Retail, eCommerce, Supply Chain, ERP, Finance, Manufacturing, Data & Analytics Benefits A challenging, innovating environment. Opportunities for learning where needed.