IN_Senior Associate_QA Automation_Data and Analytics

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics AI

Management Level Senior Associate

Job 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.

Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations, including data acquisition, transformation, and loading processes, to enable the smooth functioning of data management systems and processes.

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.