F
Fenebris India
QA Engineer - Pharma Domain
Skills
Google Cloud PlatformSQL QueriesTesting & QAData AnalysisJira
2 months ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
11 August 2026
What they need
- Database Testing
- ETL Testing
- Data Validation
- Understanding Pharma best practices is required (GxP).
- Good Laboratory (GLP), Clinical (GCP), or Manufacturing (GMP) Practices
- Understanding of FDA 21 CFR Part 11 guidelines regarding electronic records and digital signatures
- Excellent communication skills
Key Responsibilities
- Perform end-to-end testing of application modules and workflows
- Validate business processes across multiple interconnected modules
- Execute smoke, SIT, regression, and exploratory testing
- Validate data accuracy and perform reconciliation across systems
- Test integration flows and ensure data consistency between systems
- Validate business rules, calculations, and hierarchical data structures
- Log, track, and manage defects across the lifecycle
- Support UAT and collaborate with business stakeholders
- Create and maintain test cases, reports, and traceability matrices
- Validate UI/UX behavior and user experience
Required Skills & Experience
- Strong knowledge of Software Testing Life Cycle (STLC)
- Experience in Agile/Scrum environments
- Hands-on experience in functional, regression, and integration testing
- Experience in testing data-heavy applications
- Good knowledge of SQL for data validation
- Understanding of APIs, data pipelines, or ETL processes
- Strong analytical and problem-solving skills
- Ability to work with business stakeholders and technical teams
- Good communication and documentation skills
Key Success Metrics
- High defect detection rate in pre-UAT phases
- Minimal defects leakage into production
- Accurate validation of complex data and calculations
- Timely test execution and defect closure
- Complete traceability across requirements, test cases, and defects
Nice-to-Have Skills
- Experience with enterprise or data-driven applications
- Exposure to forecasting, planning, or analytics systems
- Familiarity with test management tools (e.g., Jira, qTest)
- Basic knowledge of test automation.
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