IN-ManagerAutomation TestingData & AnalyticsAdvisoryGurgaon

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profile Job Location:

Gurgaon - India

profile Monthly Salary: Not Disclosed
Posted on: 6 days ago
Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Manager

Job 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.

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

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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

  • Develop test strategies and plansin accordance withQE policies including defining and documenting testapproachand coordinating and working with change and release management teams.

  • Create andmaintainautomated test cases.

  • Create andmaintainperformance 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 activitiespertaining toUAT.

  • 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 conductrequirementsvalidation 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 deliverymethodology.

  • Maintain an enterprise-wide defect management process to include production incident/problem management integration with development/test defect management.

  • Create andmaintainQE 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 SeleniumZephyer JIRA Postman.

  • Excellent analytical problem-solving and decision-making skills

  • Demonstrated knowledge of testing practices version-control procedures and defect management processes

  • Superb computerproficiency including database management

Mandatory skill sets:

AutomationTesting

Preferred skill sets:

AutomationTesting

Years of experience:

3-8Years

Education qualification:

BE MCA

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Automation

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 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 7 2026


Required Experience:

Manager

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelManagerJob Description & SummaryAt 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 ...
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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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