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AI Summary
Lead test strategies and automation frameworks for data-intensive systems at PwC India. Define and implement scalable ETL/ELT testing and CI/CD integration. Requires 8-12 years of Playwright automation experience and strong data quality expertise.
Key Highlights
Playwright automation with 6+ years production experience
ETL testing and data quality assurance
CI/CD integration with Jenkins/GitHub Actions/Azure DevOps
Team leadership of QA engineers
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Key Responsibilities
Define and lead test strategies for data-intensive systems, ensuring alignment with quality and compliance goals
Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms
Guide a team of QA engineers, driving best practices in test automation, data validation, and performance testing
Integrate automated tests into CI/CD workflows using tools like Jenkins, GitHub Actions, or Azure DevOps
Collaborate with engineering, data, and business teams in Agile environments to ensure quality across the development lifecycle
Report key QA metrics and provide risk-based recommendations for release readiness
Stay current with testing trends, including AI-powered automation tools
Technical Skills Required
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Benefits & Perks
inclusive benefits
flexibility programmes
mentorship
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Nice to Have
Working knowledge of AWS
Understanding of DevOps practices
Team handling
Client facing
Job Description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
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