Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Databricks + AI - Associate you will support data engineering work that helps turn raw information into usable insights through data pipelines, integration, and transformation solutions within our Data and Analytics Engineering practice. As an Associate you will learn through hands-on project tasks, adapt to a fast-moving environment, ask questions,
and take ownership of work that supports team and client needs while building your technical skills and personal brand. In this role at PwC, you will contribute to client support activities, collaborate across a range of data and AI initiatives, and develop a deeper understanding of how up-to-date data platforms and AI-enabled solutions are used to support business decisions.
Responsibilities
- Building data pipelines and transformation logic using Databricks, SQL, and cloud-based data tools
- Supporting data integration activities across source systems, lake, warehouse, and analytics layers
- Developing and testing reusable notebook workflows, jobs, and scheduled processing steps in Databricks
- Validating data quality, completeness, and consistency throughout ingestion and transformation processes
- Assisting with data modeling, schema design, and performance tuning for large-scale data environments
- Troubleshooting pipeline failures, query issues, and data load discrepancies with atten
📌 Databricks + AI (Bengaluru)
🏢 PwC
📍 Bengaluru