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PwC brand plus metro location but niche Playwright+ETL QA reduces applicant density.
Skills blend of test automation and data-quality engineering, moderately transferable across industries.
Explicit 8-12 years, mandatory Playwright and data QA skills, client-facing manager role.
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Lead design and implementation of automated test strategies and frameworks for data-intensive systems including ETL/ELT pipelines and cloud platforms.
Manage and guide a QA team in best practices for test automation, data validation, and performance testing within Agile environments.
Integrate automated tests into CI/CD pipelines and report QA metrics with risk-based release recommendations.
8-12 years of professional experience in QA automation and data quality assurance.
6+ years of hands-on experience with Playwright for test automation (Cypress or Selenium experience is a plus but Playwright is mandatory).
Strong expertise in ETL testing, SQL, ETL tools, automation scripting (Python, Java, PyTest, Selenium), cloud platforms (AWS, Azure), and CI/CD integration.
Bachelor's degree in Technology (B.Tech) required; M.Tech, MBA, or MCA preferred.
Experienced in leading QA teams and client-facing roles in data quality and automation projects.
Proficient with Agile/Scrum methodologies and collaboration across engineering, data, and business teams.
Knowledgeable in DevOps practices and continuously up to date with testing trends including AI-powered automation tools.