Databricks / Snowflake - Associate

Overview

Support data engineering work within PwC's Data and Analytics Engineering practice, helping design and build data pipelines, data integration, and data transformation solutions using Databricks and Snowflake.

What you'll do

• Design and build data pipelines and transformation workflows using Databricks and Snowflake
• Support data integration tasks across cloud-based data platforms and analytics environments
• Write and maintain code to move, cleanse, and structure data for reporting and analysis
• Troubleshoot pipeline failures, data loading issues, and data quality gaps across development and test environments
• Work with technical team members to gather requirements and translate them into data engineering tasks
• Monitor job performance and apply tuning techniques to improve query and pipeline efficiency
• Document data flows, technical changes, and implementation details for ongoing support
• Apply programming and database skills to develop scalable data solutions for client delivery

What you'll need

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

Nice to have

• 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
• Coursework or projects using Databricks or Snowflake platforms
• Application of data modeling, pipeline development, or data quality concepts
• Curiosity through analytics, problem-solving, and pattern recognition
• Adapting quickly across client needs and team priorities
• Communicating ideas clearly while asking thoughtful questions
• Familiarity with cloud data tools and technical standards