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Tier-1 employer and metro location increase competition, but seniority and niche Playwright+ETL focus limit density.
Requires ETL/data quality and Playwright automation expertise, making backgrounds less transferable across industries.
Explicit 8–12 year requirement plus mandatory Playwright, ETL, cloud, and automation skills make screening highly selective.
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Lead the definition and execution of test strategies for data-intensive systems ensuring data quality, compliance, and performance.
Design and implement scalable automation frameworks focusing on ETL/ELT pipelines and cloud data platforms, integrating automated tests into CI/CD workflows.
Manage and mentor a team of QA engineers to drive best practices in test automation, data validation, and Agile collaboration across engineering and business teams.
8-12 years of work experience in automation QA with emphasis on data quality and ETL testing.
Mandatory expertise in Playwright automation tool; experience with Python, Java, PyTest, Selenium also required.
Strong SQL skills and familiarity with ETL tools and cloud platforms like AWS or Azure plus CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
Bachelor’s degree in Technology (B.Tech) or equivalent (M.Tech, MBA, MCA); certifications not explicitly mentioned in the JD.
Experienced leader with proven ability to guide QA teams and collaborate with stakeholders in Agile environments.
Deep technical background in data engineering/testing focused on ETL processes and cloud-based data platforms.
Strategic operator adept at integrating automated testing into DevOps workflows and delivering actionable risk-based quality metrics.