Databricks + AI - Associate

Overview

Support data engineering work that turns raw information into usable insights through data pipelines, integration, and transformation solutions within PwC's Data and Analytics Engineering practice, as part of the Acceleration Center India.

What you'll do

• Build data pipelines and transformation logic using Databricks, SQL, and cloud-based data tools
• Support data integration activities across source systems, lake, warehouse, and analytics layers
• Develop and test reusable notebook workflows, jobs, and scheduled processing steps in Databricks
• Validate data quality, completeness, and consistency throughout ingestion and transformation processes
• Assist with data modeling, schema design, and performance tuning for large-scale data environments
• Troubleshoot pipeline failures, query issues, and data load discrepancies with attention to detail
• Collaborate with project teams to gather technical requirements and translate them into build tasks
• Apply programming and automation skills to streamline repeatable data engineering activities
• Learn and use AI-enabled tools and data platform capabilities to improve delivery efficiency

What you'll need

• At least a Bachelor's degree
• At least 2 years of experience
• Oral and written proficiency in English

Nice to have

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Applying coursework or project experience in data engineering, analytics, or AI
• Using Databricks, Azure Data Factory, Snowflake, or Apache Airflow
• Gathering and analyzing data from multiple sources, identifying patterns
• Adapting quickly across client needs, team settings, and changing scopes
• Taking ownership, asking questions, and delivering quality work consistently

Details

• Location: Bangalore