Associate

About the Role

Join our Acceleration Center India and support data engineering work within our Data and Analytics Engineering practice. Help design and build data pipelines, data integration, and data transformation solutions that turn raw data into actionable insights. As an Associate, focus on learning, contributing to project tasks, adapting to changing client needs, and developing the analytical and technical skills needed to deliver quality work. 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.

Key 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

Requirements & Tech Stack

• Databricks
• Snowflake
• Cloud-based data platforms

Qualifications

• At least a Bachelor's degree
• At least 2 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
• 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