IN-Senior Associate_Databricks Engingeer _Data Analytics_ Advisory_Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate &

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 workplace 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. " &

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: Strong hands-on experience in Databricks Strong coding skills in Python, PySpark , and SQL Experience building ETL/ELT pipelines Hands-on experience with Delta Lake Experience with Unity Catalog, Delta Live Tables (DLT ) , Auto Loader,



Databricks Workflows / Lakeflow Knowledge of Structured Streaming Good understanding of Lakehouse architecture Experience on AWS / Azure Strong experience in Spark performance tuning / optimization Good communication skills Mandatory skill sets: Strong coding skills in Python, PySpark , and SQL Experience on AWS / Azure Preferred skill sets: Experience with Photon Exposure to Databricks SQL Exposure to MLflow / Databricks ML Experience with CI/CD, Git Knowledge of Airflow / ADF / other orchestration tools Databricks certification is a plus Domain experience in healthcare is preferred 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 DegreeDegrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills React.js Optional 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 Development, 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 Specified Available for Work Visa Sponsorship?

No Government Clearance

Required?

No Job Posting End Date

April 14, 2026 Experience Level Senior Level

📌 Manager - Google Cloud Platform Data Engineer (Bengaluru)
🏢 PriceWaterhouseCoopers( PWC
📍 Bengaluru