Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & 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.*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:
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:
Automation Testing
Preferred skill sets:
Automation Testing
Years of experience required:
3-8 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: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Automation TestingOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date