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 a Snowflake + Cortex Associate you will support data engineering work that transforms raw data into usable insights for clients, helping design and build data pipelines, integrations, and transformation solutions within our Data and Analytics Engineering practice. As an Associate you will learn by contributing to project tasks, adapt to a variety of client needs and team settings, and develop your skills while delivering dependable work and building your professional brand.

In this role at PwC Acceleration Center India, you will apply curiosity and critical thinking to data-focused assignments, work through changing priorities in a fast-paced environment, and take ownership of quality work that supports client outcomes. You will also gain exposure to Snowflake and Cortex-based solutions, collaborate with more experienced team members, and deepen your understanding of how data engineering supports business decisions.

Responsibilities

- Building Snowflake and Cortex data solutions that support client analytics and data modernization needs
- Developing and maintaining data pipelines, transformation logic, and integration workflows across cloud-based environments
- Writing and tuning SQL queries to improve data loading, retrieval, and performance across data platforms
- Supporting data modeling, validation, and documentation activities for warehouse and lakehouse structures
- Assisting with orchestration using Apache Airflow, Azure Data Factory, or DAG-based scheduling tools
- Applying data quality checks and troubleshooting data issues across ingestion, transformation, and consumption layers
- Collaborating with team members to translate business requirements into technical data engineering tasks
- Using AWS, Databricks, and Snowflake features to support scalable and secure data processing
- Learning new tools and methods quickly while taking ownership of assigned work and delivering dependable results

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
- Demonstrating coursework or projects in Snowflake data modeling
- Applying Snowflake Cortex concepts through academic or project-based work
- Using SQL, Python, or data pipeline tools in learning environments
- Gathering and analyzing data from multiple sources with curiosity
- Communicating ideas clearly while adapting to team feedback

Travel Requirements

Job Posting End Date