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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, 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. "
Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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.
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:
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:
Team Handling
Client Facing
Years of experience required:
4-8
Education qualification:
B.Tech / M.Tech / MBA / MCA
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
AWS BatchOptional 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
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 2, 2026Auto-Apply to QA Automation Jobs with your AI JobCopilot
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