Pwc
Data, Analytics & AI
SeniorAssociate_QAAutomation_Data&Analytics_Advisory
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate_QA Automation _Data & Analytics_ Advisory at Pwc. Skills: QA Automation, Data & Analytics, ETL testing, data quality, SQL, test automation, cloud platforms, CI/CD. Define and lead test strategies for data-intensive systems. Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms”
What You'll Achieve.
ensuring alignment with quality and compliance goals; enable efficient data processing and analysis; transforming raw data into actionable insights; enabling informed decision-making; driving business growth
Industry & Context.
Analytical Thinking
No Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
ETL testing, data quality, SQL, ETL tools, test automation (Python, Java, PyTest, Selenium), cloud platforms (AWS, Azure), CI/CD, Agile/Scrum practices, stakeholder collaboration, AWS Batch
Nice to Have
Team Handling, Client Facing
What You'll Do.
Define and lead test strategies for data-intensive systems
Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms
Integrate automated tests into CI/CD workflows
Report key QA metrics
Provide risk-based recommendations for release readiness
Stay current with testing trends
How You'll Work.
Team & Collaboration
Collaborate with engineering, data, and business teams in Agile environments
Communication Scope
Communication
Full Job Description
**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_](https://www.pwc.in/about-us.html). 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
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