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GeekSoft Consulting
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Bengaluru · On-site · 3-6 Yrs · Oct 4
3 open roles0 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
• Help design, build and continuously improve the clients online platform.
Qualifications
- 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.
- Good understanding of ETL concepts and data transformation.
- Strong understanding of data mapping, transformation, validation, reconciliation, quality, and integrity.
- Good understanding of STLC, SDLC, test case design, and defect lifecycle.
- 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
- Knowledge of Oracle, SQL Server, PostgreSQL, MySQL, or other relational databases.
- Exposure to API testing and JSON/XML validation.
- Exposure to cloud data platforms such as Azure, AWS, or Snowflake.
- Exposure to automation using Python, Java, Selenium, or similar tools.
- 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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Job application FAQ
Last updated 6 October 2026
- How do I apply for QA Engineer - Data Conversion & Reporting at GeekSoft Consulting?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. GeekSoft Consulting may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this QA Engineer - Data Conversion & Reporting role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is QA Engineer - Data Conversion & Reporting remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this QA Engineer - Data Conversion & Reporting role at GeekSoft Consulting?
- This is a mid-level QA Engineer - Data Conversion & Reporting role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.