IN_Manager_Automation Testing_Data & Analytics_Advisory_Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager &

Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

- 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 setting 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: Develop test strategies and plans in accordance with QE policies, including defining and documenting test approach and coordinating and working with change and release management teams. Create and maintain automated test cases. Create and maintain performance test cases. Coordinate and support in the planning and execution of end-to-end QE for Functional and Integration scenarios including creating scope, project test plan, test case execution and coordinating defect assignment and resolution. Support managing the User Acceptance Testing (UAT) process and activities pertaining to UAT. Conduct performance testing for applications including development of performance test plan and test scripts, performance test execution, and analysis of results and performance test report preparation. Manage and conduct requirements validation testing tasks and integration testing for all applications in scope. Manage and conduct end-to-end Regression Test planning and execution for any changes in the in-scope applications landscape. Maintain, and operationalize automation opportunities to improve efficiencies in testing delivery processes in addition to supporting the Continuous Testing and delivery methodology. Maintain an enterprise-wide defect management process to include production incident/problem management integration with development/test defect management.



Create and maintain QE service catalog and QE service catalog portal. Create and update QE processes. Create and update QE tooling.

Required skills and qualifications. Deep knowledge of QE processes and tools Strong understanding of one or many tools from this list Rest-Assured, JMeter, Selenium, Zephyer, JIRA, Postman. Excellent analytical, problem-solving, and decision-making skills Demonstrated knowledge of testing practices, version-control procedures, and defect management processes Superb computer proficiency, including database management Mandatory skill sets: Automatio n Testing Preferred skill sets: Automatio n Testing Years of experience required: 8 - 10 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Automation Testing Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling { 32 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship?

No Government Clearance

Required?

No Job Posting End Date

April 13, 2026 Experience Level Mid Level

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