Associate

About the Role

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.

As a Snowflake + Cortex Associate, you will support data engineering work that turns raw data into usable insights through cloud-based data pipelines, data integration, and transformation solutions within our Data and Analytics Engineering practice. As an Associate, you will bring curiosity, adaptability, and reliability to project tasks, learn from varied client and team needs, ask thoughtful questions, and develop your technical skills while delivering quality work in a fast-paced environment.

In this role at PwC, you will contribute to building data infrastructure and systems that support efficient processing and analysis, while gaining exposure to Snowflake and Cortex work that helps clients move data into action.

Key Responsibilities

• Building and maintaining data pipelines that move, transform, and validate information across cloud-based platforms
• Developing Snowflake and Cortex solutions that support data processing, transformation, and analytics use cases
• Supporting data integration efforts by connecting source systems, refining mappings, and troubleshooting pipeline issues
• Writing and maintaining SQL logic, transformation code, and workflow steps used in data engineering delivery
• Assisting with data modeling activities that organize warehouse structures for reporting and downstream analytics
• Monitoring pipeline runs and data loads to identify defects, performance issues, and data quality gaps
• Collaborating with team members to gather requirements, clarify tasks, and adapt delivery approach across varied client needs
• Applying knowledge of cloud data tools such as Snowflake, Azure Data Factory, Databricks, and Apache Airflow in project work

Requirements & Tech Stack

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

Qualifications

• 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 in data engineering, cloud platforms, or analytics tools
• Applying Snowflake, Cortex, or similar data platform skills
• Using AWS, Azure, or Databricks in academic or internship settings
• Gathering data from sources and identifying patterns
• Communicating ideas clearly and asking thoughtful questions