Associate

About the Role

As an Associate Databricks Azure AI at PwC, 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. 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, 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.

Key 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

Requirements & Tech Stack

• Databricks
• Azure AI
• Python
• SQL
• Cloud data services

Qualifications

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