QA Engineer - Data Conversion & Reporting

• 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.