Data QA Tester Engineer

Overview CI&T National Capital Region, Philippines We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 7,400 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. Location: Hybrid / Philippines Job Type: Full time, Permanent Job Level: L3 Base pay range This range is provided by CI&T. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Note: We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. Responsibilities Validate data pipelines from raw (Bronze) through transformed (Silver) to curated (Gold) layers by executing SQL queries and comparing results against expected outcomes. Test BI reporting outputs (Power BI or equivalent) to ensure metrics, calculations, and filters align with business requirements. Execute test cases based on provided acceptance criteria, ensuring all key data flows are validated end-to-end. Identify, log, and track defects in Jira, working closely with developers and data engineers to resolve issues. Review acceptance criteria in user stories for testability and provide feedback to ensure clear and testable requirements. Maintain test scripts and SQL queries to support ongoing validation activities across multiple sprints. Collaborate with cross-functional teams including data engineers, BI developers, and product owners to ensure comprehensive test coverage. Raise risks or blockers early to minimise delivery impact and ensure prompt resolution. Keep testing documentation updated to reflect changes in data structures, pipelines, and reporting logic. Perform schema validation to ensure that source, staging, and curated layer tables match agreed data models and definitions. Verify data completeness and accuracy by comparing record counts, aggregations, and key field values across pipeline stages. Validate transformation logic by checking calculated measures, derived fields, and business rules implemented in the Silver and Gold layers. Support historical data load testing to confirm accuracy of migrated datasets from legacy systems. Assist in regression testing after pipeline or data model changes to ensure existing functionality is not impacted. Check data quality rules (e.g., null handling, duplicate removal, and formatting consistency) against agreed acceptance criteria. Test access controls and permissions to confirm that data security and governance requirements are being enforced. Perform sanity checks on production data post-deployment to confirm successful release outcomes. Key Selection Criteria Strong communication skills with stakeholders of all levels Strong experience in testing native mobile apps for Android and iOS, including API, Responsive Website Experience in manual and exploratory testing Experience in writing test plans Experience in writing and running manual test cases Experience in at least one defect management tool Experience in a professional services environment, with success in building strong customer relationships and working within a cross product team Experience working in a fast-paced Agile environment A desire to achieve the best outcome for our clients Friendly, professional, self-motivated with a drive to learn Tertiary qualifications in IT or similar relevant qualifications highly desirable Seniority level Not Applicable Employment type Full-time Job function Quality Assurance Industries IT Services and IT Consulting #J-18808-Ljbffr