Associate

About the Role

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services, solving real client challenges through connected collaboration. As a Databricks + AI - Associate, you will support data engineering work that helps turn raw information into usable insights through data pipelines, integration, and transformation solutions within our Data and Analytics Engineering practice. You will learn through hands-on project tasks, adapt to a fast-moving environment, ask questions, and take ownership of work that supports team and client needs while building your technical skills and personal brand. In this role, you will contribute to client support activities, collaborate across a range of data and AI initiatives, and develop a deeper understanding of how modern data platforms and AI-enabled solutions are used to support business decisions.

Key Responsibilities

• Building data pipelines and transformation logic using Databricks, SQL, and cloud-based data tools
• Supporting data integration activities across source systems, lake, warehouse, and analytics layers
• Developing and testing reusable notebook workflows, jobs, and scheduled processing steps in Databricks
• Validating data quality, completeness, and consistency throughout ingestion and transformation processes
• Assisting with data modeling, schema design, and performance tuning for large-scale data environments
• Troubleshooting pipeline failures, query issues, and data load discrepancies with attention to detail
• Collaborating with project teams to gather technical requirements and translate them into build tasks
• Applying programming and automation skills to streamline repeatable data engineering activities
• Learning and using AI-enabled tools and data platform capabilities to improve delivery efficiency

Requirements & Tech Stack

• At least a Bachelor's degree
• Oral and written proficiency in English required
• Experience with Databricks, Azure Data Factory, Snowflake, or Apache Airflow
• Experience gathering and analyzing data from multiple sources, identifying patterns
• Experience applying programming and automation skills to streamline repeatable data engineering activities

Qualifications

• 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
• Applying coursework or project experience in data engineering, analytics, or AI
• Adapting quickly across client needs, team settings, and changing scopes
• Taking ownership, asking questions, and delivering quality work consistently