IN_Senior Associate_QA Automation _Data Analytics_ Advisory_Bangalore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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 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. " 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.

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:

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: Bachelor of Engineering, Master of