Snowflake+Databricks+AI - Associate 2

PwC; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

PwC Acceleration Center Bangalore is seeking an Associate to support data engineering within Data and Analytics Engineering. You will design and build data pipelines, integrate data sources, and transform data into analytics-ready assets for clients.

You'll learn from senior colleagues, work on Snowflake and Databricks, and gain experience with AI-focused delivery in a fast-paced environment while developing your technical skills and delivering reliable results.

Qualifications

• Bachelor’s degree required
• Minimum 3 years of experience
• English proficiency (oral and written) required

Responsibilities

• Develop data pipelines and transformation workflows across Snowflake and Databricks environments
• Build data integration solutions moving data from source systems to analytics-ready structures
• Write and optimize SQL queries for data validation and performance
• Support data modeling for warehouse and lake-based data assets
• Monitor pipeline jobs and troubleshoot data loads and dependencies
• Use Azure Data Factory, Apache Airflow and related tools to manage data movement
• Collaborate with project teams to gather data requirements and translate into build tasks
• Utilize Python, SQL and data pipeline concepts in projects

Skills

SQL

Python

Java

Education

Bachelor’s degree

Tools

Snowflake

Databricks

Azure Data Factory

Apache Airflow

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

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+Databricks+AI 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 usable insights for clients. As an Associate you will learn from more experienced team members, contribute to client engagement tasks, adapt to changing project needs, and develop your technical skills while taking ownership of assigned work and delivering careful, consistent results. In this role at PwC Acceleration Center Bangalore, you will work on data infrastructure and systems that support processing and analysis, with exposure to Snowflake, Databricks, and AI-focused delivery in a fast-paced environment.

Responsibilities

• Developing data pipelines and transformation workflows across Snowflake and Databricks environments


• Building data integration solutions that move information from source systems into analytics-ready structures


• Writing and tuning SQL queries to support data validation, troubleshooting, and performance improvement


• Supporting data modeling activities for warehouse and lake-based data assets


• Monitoring pipeline jobs and identifying issues in data loads, transformations, and dependencies


• Applying Azure Data Factory, Apache Airflow, and related orchestration tools to schedule and manage data movement


• Collaborating with project teams to gather data requirements and translate them into technical build tasks


• Using AWS, Azure Databricks, and Python or Java skills to support scalable data engineering solutions

What You Must Have

• At least a Bachelor’s degree


• At least 3+ 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 project work in data engineering


• Utilizing Snowflake or Databricks through academic or internship projects


• Applying Python, SQL, or data pipeline concepts in academic work


• Gathering and interpreting data from multiple sources for patterns


• Learning Agile delivery methods and team-based problem solving


• Adapting quickly in client-facing, fast-paced technology settings

Travel Requirements

Not Specified

Job Posting End Date