Databricks+Azure AI - Associate

PwC Acceleration Center India; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC Acceleration Center India is seeking a Databricks Azure AI Associate to support data engineering tasks, build data pipelines, and transform data for analytics. You will work with cloud technologies to turn raw data into actionable insights, learning on the job in a fast-paced, client-facing environment.

You will collaborate with senior team members, adapt to varied client needs, and develop technical capability in Databricks, Azure AI, Python, and SQL while ensuring data quality and timely

Qualifications

• Bachelor's degree required.
• English proficiency required (oral and written).
• At least 2 years of experience in data engineering or related field.

Responsibilities

• Build and transform data pipelines using Databricks and Azure AI tools.
• Integrate data from multiple sources into cloud-based platforms.
• Develop data transformation logic and reusable components for scalable solutions.
• Validate data quality across ingestion, processing and storage stages.
• Support data modeling activities for analytics and downstream use.
• Troubleshoot pipeline failures and platform issues to maintain delivery.
• Apply Python, SQL and cloud services to automate tasks.

Skills

English proficiency

Education

Bachelor's degree

Tools

Databricks

Azure AI

Python

SQL

Job description

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