Databricks+Azure AI - Associate

PwC; Bengaluru; On-site; INR 800,000 - 1,100,000; Full time

Job summary

PwC in Bengaluru is seeking an Associate level professional to join our Data, Analytics & AI team. You will support data engineering tasks, build data pipelines with Databricks and Azure AI, and help turn raw data into actionable insights for diverse clients across geographies.

You will learn and adapt to varied client needs, work with cloud data technologies, and contribute to projects in a fast-paced environment while developing technical capabilities within PwC's Data and Analytics

Qualifications

• Bachelor's degree required
• Minimum 2 years of experience
• English proficiency (oral and written) required
• Experience with Python/SQL is a plus

Responsibilities

• Build and transform data pipelines using Databricks and Azure AI tools
• Integrate data from multiple sources into cloud platforms for analytics
• Develop data transformation logic and reusable components
• Validate data quality across ingestion, processing and storage layers
• Support data modeling for analytics and downstream use
• Troubleshoot pipeline failures and platform issues
• Automate routine tasks using Python and SQL
• Collaborate with senior team members to gather requirements and document details

Job description

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 Azure AI Associate you will support data engineering work that designs and builds data pipelines, data integration, and data transformation solutions within our Data and Analytics Engineering practice. As an Associate you will focus on learning, adapting to varied client needs, contributing to project tasks, and developing the skills needed to deliver quality work in a fast-paced environment. In this role at PwC, you will help turn raw data into insights that support informed decisions, strengthen data infrastructure, and build your technical capability while working with cloud data technologies and AI-enabled solutions.

Responsibilities

• Building and transforming data pipelines using Databricks and Azure AI tools to support client data modernization work
• Integrating data from multiple sources into cloud-based data platforms for analysis and reporting
• Developing data transformation logic and reusable components that support scalable engineering solutions
• Validating data quality, completeness, and consistency across ingestion, processing, and storage layers
• Supporting data modeling activities that organize information for analytics and downstream use
• Troubleshooting pipeline failures, query issues, and platform errors to keep delivery moving
• Applying Python, SQL, and cloud data services to automate routine engineering tasks
• Collaborating with senior team members to gather requirements, document technical details, and track work through delivery milestones

What You Must Have

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

What Sets You Apart

• 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
• Developing Databricks and Azure AI skills through coursework or projects
• Applying data engineering concepts, including pipelines and data modeling
• Using Python, SQL, or cloud tools in academic or internship settings
• Gathering facts, analyzing patterns, and sharing clear ideas
• Adapting quickly in client-facing, fast-paced team environments

Travel Requirements

Not Specified