The Tester is responsible for executing testing and validation activities for clinical data, analytics, and reporting systems, with a strong focus on data validation, pipeline testing, and Agile delivery to ensure high-quality and reliable releases.
Key Responsibilities
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Execute end-to-end testing (SIT, UAT, IQ, OQ, Dry Runs) including test design, execution, and defect management using VVM/Veeva Vault and ALM
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Perform data validation across ETL/ELT pipelines, including SQL-based reconciliation, source-to-target validation, and verification of datasets, reports, and dashboards
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Validate system functionality, data transformations, and integrations across GxP and Non-GxP systems based on business and regulatory requirements
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Analyze and resolve data issues through defect triaging, production data validation, and ensuring data accuracy and integrity
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Ensure completeness and correctness of testing artifacts, including test scripts, execution evidence, and defect documentation for audit/inspection readiness
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Maintain end-to-end traceability (RTM) between requirements, test cases, execution results, and defects
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Support validation lifecycle activities including impact assessment, risk-based testing approaches, and validation documentation updates
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Support execution and closure of validation activities aligned with Change Requests (ServiceNow) ensuring proper documentation and approvals
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Participate in release readiness activities including test summaries, defect reviews, and go/no-go decisions
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Collaborate with Agile teams (BA, Dev, QA, Product) to deliver sprint testing outcomes and ensure timely, high-quality releases
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Contribute to continuous improvement of testing and validation practices, including standardization and automation-aligned approaches
Required Qualifications
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5–8 years of experience in testing, QA, or data validation roles
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Strong experience in test case design, execution, defect lifecycle management, and test documentation
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Experience with testing tools such as HP ALM, JIRA, and Confluence
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Familiarity with functional, integration, and data validation testing approaches
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Experience working in Agile/Scrum delivery models
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Strong analytical, debugging, and problem-solving skills
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Ability to work with cross-functional teams and deliver within sprint timelines
Must Have
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Strong SQL expertise for data validation, reconciliation, joins, aggregations, and exception analysis
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Hands-on experience testing ETL/ELT pipelines (Databricks or similar) and validating data across relational databases
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Experience working with AWS data services (S3 ingestion/storage) and SQL tools (DBeaver or similar)
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Strong understanding of source-to-target validation, data quality checks, and data defect analysis
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Experience preparing test evidence and supporting validation execution in controlled environments
Good to Have
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Knowledge of Computer System Validation (CSV)
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Understanding of Risk-Based Validation (RBV)
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Familiarity with GxP and 21 CFR Part 11
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Experience with Veeva Vault / VVM
Preferred Skills
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Experience in clinical data, analytics, or reporting systems
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Familiarity with data warehouse / data lake validation concepts
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Exposure to test automation or automation-aligned practices