Job Description

- Help design, build and continuously improve the clients online platform.

- Research, suggest and implement current 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 Business Objects, 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.

Requirements
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📌 QA Engineer - Data Conversion & Reporting (India)
🏢 GeekSoft Consulting
📍 India