Snowflake Data Conversion Data Quality - Associate 2

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 Data Conversion Data Quality Associate you will support data engineering work that helps convert, transform, and validate data for client solutions within our Advisory practice. As an Associate you will contribute to project tasks, learn from senior team members, adapt to changing priorities, and build your technical skills while working across a fast-paced environment with a variety of clients and team members. In this role at PwC, you will help design and build data pipelines, carry out data integration and transformation activities, and support data quality work that turns raw data into usable insights for decision-making.

Responsibilities

• Supporting Snowflake data conversion activities across cloud data environments
• Transforming source data into target structures through ETL and data pipeline tasks
• Validating data quality, reconciliation results, and conversion outputs against defined requirements
• Assisting with data mapping, profiling, and cleansing activities to improve migration readiness
• Monitoring pipeline runs and troubleshooting data issues across Snowflake and related data platforms
• Applying SQL and data engineering skills to load, test, and refine datasets
• Collaborating with client teams and senior staff to gather requirements and document conversion details
• Contributing to data warehousing, modeling, and integration tasks for modernization efforts
  
  

• At least a Bachelor's degree
• At least 3+ 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
• Completing coursework or projects in data engineering, data conversion, or data quality
• Using Snowflake, Databricks, or cloud data platforms in academic or internship settings
• Applying SQL, data modeling, or data validation for analytics tasks
• Gathering requirements, asking questions, and translating findings into clear actions
• Adapting quickly across client teams while contributing reliable work