Industry/Sector

Specialism

Management Level

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 an AWS Redshift, Agentcore Runtime, AI Assistant & Vector, MCP Associate you will support data engineering work within our Data and Analytics Engineering practice, helping design and build data pipelines, data integration, and data transformation solutions that turn raw data into usable insights for clients. As an Associate you will focus on learning, contributing to project tasks, adapting to changing priorities, and building your technical knowledge while delivering dependable work in a team-based, fast-paced environment. In this role at PwC, you will have the opportunity to develop skills across cloud data platforms and AI-enabled tools while supporting client-facing work and learning how data solutions connect to broader business goals.

Responsibilities

- Developing data pipelines and transformation logic to move information from source systems into cloud-based data platforms
- Building and maintaining data models, warehouse structures, and integration workflows that support reporting and analytics
- Configuring and troubleshooting AWS, Redshift, Databricks, and Snowflake components within modern data environments
- Applying Apache Airflow and DAG-based orchestration to schedule, monitor, and adjust data processing jobs
- Validating data quality, consistency, and traceability across ingestion, transformation, and delivery stages
- Supporting data architecture and platform modernization efforts for cloud-native environments across AWS and other leading cloud tools
- Using SQL, Python, and database administration skills to tune queries, improve performance, and resolve data issues
- Contributing to client delivery by gathering requirements, documenting technical details, and translating business needs into data solutions
- Learning new methods in data engineering, AI-enabled tooling, and scalable platform design while taking ownership of assigned tasks

What You Must Have

- At least a Bachelor's degree
- At least 3+ 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
- Demonstrating coursework or project work in AWS, Redshift, or data engineering
- Utilizing Python, SQL, or data modeling in academic or internship settings
- Applying curiosity to learn cloud data platforms and AI tools
- Gathering, analyzing, and interpreting data from multiple sources
- Communicating ideas clearly and adapting across client teams

Travel Requirements

Job Posting End Date