IN_Senior Associate_QA Automation _GCC_ Advisory_Bangalore

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

PwC in Bengaluru is seeking a Senior Associate for data, analytics and AI to design and validate data pipelines, ensure data quality, and support testing strategies across data-intensive systems.

You will collaborate with engineering and business teams in an Agile environment, implement automation in CI/CD, and stay updated with AI-powered testing trends, contributing to reliable, scalable data platforms.

Qualifications

• Experience with ETL testing and data quality.
• Strong SQL skills.
• Proficiency in test automation (Python, Java, PyTest, Selenium).
• Knowledge of cloud platforms (AWS, Azure) and CI/CD.
• Experience with Agile/Scrum and stakeholder collaboration.

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.

Skills

ETL testing

Data quality

SQL

Test automation

Python

Java

PyTest

Selenium

AWS

Azure

CI/CD

Agile/Scrum

Education

B.Tech / M.Tech / MBA / MCA

Bachelor of Engineering / Master of Engineering

Tools

Jenkins

GitHub Actions

Azure DevOps

ETL tools

Job description

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.

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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: Bachelor of Engineering, Master of Engineering.

Certifications

(if blank, certifications not specified)

Required Skills

QA Automation

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 30 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 2, 2026