Databricks / Snowflake - Associate

PwC Acceleration Center India; Andhra Pradesh; On-site; INR 600,000 - 1,200,000; Full time

Job summary

PwC Acceleration Center India is recruiting an Associate for the Data and Analytics Engineering practice to support data pipelines, integration, and transformation projects. You will learn and contribute across client tasks, adapting to varied needs while developing analytical and technical skills to deliver value.

You will collaborate with global teams, gather information from diverse sources, interpret patterns, and build an understanding of how data infrastructure supports informed

Qualifications

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

Responsibilities

• Designing and building data pipelines and transformation workflows using Databricks and Snowflake
• Supporting data integration tasks across cloud-based data platforms and analytics environments
• Writing and maintaining code to move, cleanse, and structure data for reporting and analysis
• Troubleshooting pipeline failures, data loading issues, and data quality gaps across development and test environments
• Working with technical team members to gather requirements and translate them into data engineering tasks
• Monitoring job performance and applying tuning techniques to improve query and pipeline efficiency
• Documenting data flows, technical changes, and implementation details for ongoing support
• Applying programming and database skills to develop scalable data solutions for client delivery

Skills

English proficiency

Problem solving

Education

Bachelor's degree

Tools

Databricks

Snowflake

Job description

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 Databricks / Snowflake - 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 actionable insights. As an Associate you will focus on learning, contributing to project tasks, adapting to changing client needs, and developing the analytical and technical skills needed to deliver quality work. In this role at PwC, you will take part in client support activities, collaborate across teams in a fast-paced environment, gather information from varied sources, interpret patterns, and build your understanding of how data infrastructure and systems support informed decision-making and business growth.

Responsibilities

• Designing and building data pipelines and transformation workflows using Databricks and Snowflake
• Supporting data integration tasks across cloud-based data platforms and analytics environments
• Writing and maintaining code to move, cleanse, and structure data for reporting and analysis
• Troubleshooting pipeline failures, data loading issues, and data quality gaps across development and test environments
• Working with technical team members to gather requirements and translate them into data engineering tasks
• Monitoring job performance and applying tuning techniques to improve query and pipeline efficiency
• Documenting data flows, technical changes, and implementation details for ongoing support
• Applying programming and database skills to develop scalable data solutions for client delivery

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 using Databricks or Snowflake platforms
• Applying data modeling, pipeline development, or data quality concepts
• Showing curiosity through analytics, problem-solving, and pattern recognition
• Adapting quickly across client needs and team priorities
• Communicating ideas clearly while asking thoughtful questions
• Building familiarity with cloud data tools and technical standards