IN_Manager_QA Automation_Data and Analytics_Advisory_Bangalore

PwC India; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

PwC India seeks a Manager to lead data quality assurance for data-intensive systems. You will define test strategies, design scalable automation for ETL/ELT pipelines, and guide a QA team to ensure data integrity across cloud platforms.

Collaborate with engineering and business teams in Agile environments, report metrics, and drive improvements with AI-powered testing trends. Join PwC India's Advisory practice to enable trusted decision-making and data-driven outcomes for clients and internal

Qualifications

• 8–12 years of experience in data QA, analytics, and data management.
• Strong automation, cloud, and CI/CD familiarity.
• Experience with ETL tools and data validation processes.
• Proficient in Python/Java and testing frameworks (PyTest, Selenium).

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.

Skills

ETL testing

Data quality

SQL

Test automation

Python

Java

PyTest

Selenium

Agile/Scrum

Education

B.Tech / M.Tech / MBA / MCA

Tools

Playwright

AWS

Azure

CI/CD

Job description

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 forour 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 foreach 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 ofQAengineers, 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 keyQAmetrics and provide risk-based recommendations for release readiness.
• Stay current with testing trends, including AI-powered automation tools.

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Manager

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
• Team Handling
• Client Facing

Years of experience required: 8-12 Education qualification: B.Tech / M.Tech / MBA / MCA

Education

Degrees/Field of Study required: Bachelor of Technology

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

Job Posting End Date

August 31, 2026