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PwC brand and Bangalore metro increase applicant density, but niche Playwright+ETL specialization keeps it moderate.
Data QA and ETL automation skills are domain-specific, limiting cross-industry portability.
Explicit 8-12 years and mandatory Playwright/ETL/SQL/cloud skills enforce strict filters.
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Lead the definition and execution of test strategies for data-intensive systems ensuring quality and compliance.
Design, build, and maintain scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms.
Manage and guide a team of QA engineers on automation, data validation, performance testing, and integrate testing within CI/CD workflows.
8-12 years of work experience in QA automation with strong focus on data quality and ETL testing.
Mandatory 6+ years of hands-on experience designing automation frameworks specifically using Playwright (experience with Cypress or Selenium is a plus, but Playwright is required).
Bachelor of Technology degree (B.Tech) mandatory; M.Tech, MBA, MCA also acceptable.
Strong proficiency in SQL, ETL tools, cloud platforms (AWS, Azure), test automation using Python/Java, and CI/CD integration required.
Experienced in Agile/Scrum environments collaborating with engineering, data, and business stakeholders to embed quality across development lifecycle.
Demonstrated ability to lead QA teams, drive test automation best practices, and provide risk-based release readiness insights.
Familiar with DevOps practices, AWS cloud environment, and current automated testing trends including AI-powered automation tools.