Data Tester
Team: 474 COGS - Data Solutions
Location: Bengaluru, India
Commitment: F - Full Time
Workplace Type: hybrid
Responsibilities
- Experience validating ETL/ELT pipelines and BI reports/dashboards.
- Should experience as a Data Tester / Data QA with strong hands-on data testing expertise.
- Working knowledge of Python for data testing and automation.
- Document traceability between testing, system requirements, and product requirements documentation in a timely manner.
- Responsible for testing through the entire lifecycle of a project, including test case development, execution and verification.
- Perform data tester to support operational data requests and user queries.
- Collaborate with clinical data teams to analyse IRT/RTSM datasets.
- Proven experience working with clinical trial data in regulated environments.
- Help manage CICD and automated code branching/deployment
- Complete all testing deliverables at the end of the testing cycle.
- Demonstrate efficient and accurate completion of all responsibilities.
Skills
- Experience in Pharma or Life Sciences, especially in clinical trial operations.
- Familiarity with data governance and metadata management tools.
- Certifications in Databricks, cloud platforms, or clinical data standards.
- Exposure to machine learning workflows or data science collaboration.
Experience
- 6–8 years of experience as a Data Tester / Data QA with strong hands-on data testing expertise
- Proven experience working with clinical trial data in regulated environments
- Hands-on experience with IRT/RTSM systems and related datasets
- Strong expertise in data validation, reconciliation, and end-to-end data testing
- Ability to test data across the full project lifecycle, from requirements to production validation
- Advanced SQL skills for complex data analysis and validation
- Hands-on experience with automation testing of data using tools such as RightData or equivalent data testing/validation tools
- Experience ensuring data quality, auditability, and traceability for compliance purposes
- Familiarity with clinical data standards such as CDISC, SDTM, and ADaM
- Experience validating ETL/ELT pipelines and BI reports/dashboards
- Strong analytical skills with attention to detail and accuracy
- Ability to collaborate effectively with clinical, data engineering, and business teams
Education
- Bachelor’s degree in computer science, Engineering, or equivalent field or appropriate experience will be considered
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