Databricks + AI - Associate

Overview

Support data engineering work within PwC's Data and Analytics Engineering practice, turning raw data into usable insights through pipelines, integration, and transformation solutions for client work.

What you'll do

• Support data engineering projects by building and refining data pipelines, integration flows, and transformation logic
• Develop Databricks and cloud-based data solutions that move raw data into usable formats for reporting and analysis
• Assist in data modeling, validation, and quality checks across data warehouse and data lake environments
• Write and maintain code for automation, orchestration, and repeatable data processing tasks
• Apply SQL, Python, and platform-specific tooling to troubleshoot data issues and improve pipeline performance
• Collaborate on AI-enabled data workflows and digital tooling to improve delivery speed and data usability
• Gather input from technical and business stakeholders to clarify requirements and translate them into working solutions
• Document technical processes, standards, and solution details to support delivery consistency and future maintenance

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
• Demonstrating coursework or project experience using Databricks and AI tools
• Applying data engineering concepts across pipelines, modeling, and validation tasks
• Utilizing cloud platforms such as AWS, Azure, or Snowflake
• Learning Agile practices while adapting to changing client needs
• Communicating clearly, listening actively, and asking thoughtful questions

Details

• Location: Bangalore, India (Acceleration Center India)
• Management Level: Associate