QA Engineer - Data Conversion & Reporting

GeekSoft Consulting • IT Consulting & Digital Transformation • Custom Software Development • Python • Java • SQL • Power BI • ETL/ELT • Informatica • Talend • SSIS • Azure Data Factory • Looker • SAP BusinessObjects • 3 hours ago
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Salary
≈ $9.5k – $25k per year (Estimated)
Location
In office (Bengaluru)
Experience
3+ years exp
Employment
Full-Time

First seen by Alion on Oct 13, 2026.

Overview
Company
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GeekSoft Consulting

At GeekSoft - we provide high quality, IT-enabled services with diverse consulting services to improve business challenges and performance. Our expertise is into Technology Consulting. We are a home of Young and Dynamic Professionals, with a customer oriented service model for excellent customer satisfaction.
geeksoftconsulting.com • Custom Software Development • IT Consulting & Digital Transformation
Tech stack of GeekSoft Consulting
  • 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.




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