Data QA Engineer
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Summary
Experienced (5+ yrs) QA engineer to lead end-to-end quality assurance for data and integration projects: planning test strategy, building automated regression suites, and running functional, integration, regression and E2E testing. Core tech: test automation frameworks, SQL/database testing, CI/CD and AI-assisted tools like GitHub Copilot and Claude.
Data QA Engineer
We are looking for an experienced (5+) QA Engineer who can drive end-to-end quality assurance activities for data and Integration projects.
Data QA Engineer
We are looking for an experienced (5+) QA Engineer who can drive end-to-end quality assurance activities for data and Integration projects.
Key Responsibilities
- Lead QA planning, test strategy, and test execution across projects.
- Design, develop, and maintain automated test cases and regression test suites.
- Collaborate with business analysts, developers, and product teams to understand requirements and define test coverage.
- Perform functional, integration, regression, and end-to-end testing.
- Leverage AI-powered testing tools to improve test automation, test case generation, defect detection, and overall QA productivity.
Required Skills
- Strong experience in test automation frameworks and Strong SQL skills and database testing experience
- Experience with CI/CD pipelines and DevOps practices.
- Hands-on experience using AI-assisted testing tools such as GitHub Copilot, Snowflex Cortex, Claude code
- Experience with Agile/Scrum methodologies and Strong analytical, communication, and stakeholder management skills.