PwC India
Website:
pwc.in
Company:
https://www.linkedin.com/company/pwc-india
Seniority: Mid-Senior level
Industries: Business Consulting and Services
Job details:
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.
In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
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.
Mandatory skill sets:
- Automation Tools: 6+ years of production experience building frameworks specifically with Playwright (experience with Cypress or Selenium is a plus but Playwright is required).
- Strong background in ETL testing, data quality, and SQL.
- Experience with ETL tools
- Proficiency in test automation (Python, Java, PyTest, Selenium).
- Solid understanding of cloud platforms (AWS, Azure) and CI/CD.
- Familiar with Agile/Scrum practices and stakeholder collaboration.
Preferred skill sets:
- Working knowledge of AWS.
- Understanding of DevOps practices
Years of experience required:
8-12
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Playwright
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Creativity, Database Administration, Database Management System (DBMS), Database Performance Management, Database Quality Assurance, Database Troubleshooting, Data Error Checking, Data Integrity, Data Management, Data Management Plan (DMP), Data Management Platform (DMP), Data Profiling, Data Quality, Data Quality Assessment, Data Quality Assurance Testing, Data Quality Automation, Data Quality Improvement Plans (DQIP), Data Science Troubleshooting, Data Warehousing Quality Assurance {+ 20 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
August 31, 2026
Click on Apply to know more.
