Data Engineer - Senior

About the job

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Advisory - Data and Analytics – Data Engineer -Senior As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. Roles and Responsibilities: • 5+ years of experience in BI/ETL development and data engineering. • Hands-on expertise in Agentic AI frameworks (must-have). • Proficiency in Azure, Databricks, and PySpark. • Advanced programming skills in Python. • Solid understanding of data modelling, data warehousing, and cloud platforms (Azure/GCP). • Excellent problem-solving and communication skills. • Experience with machine learning workflows and AI-driven analytics. • Familiarity with CI/CD pipelines, API development, and microservices architecture. • Cloud Platforms: Azure • Programming Languages: Python (Dash, Pandas, NumPy), SQL. • DevOps Tools: Jenkins, Git, GitHub. • Database Technologies: MySQL, PostgreSQL, NoSQL databases. Experience :Should have 5+ years of Relevant Experience.

Requirements

• Data Engineering
• Azure
• Python

Preferred Technologies

• Data Engineering
• Azure
• Python

About the company

EY is a global consulting firm helping businesses shape their futures with confidence through data and technology solutions.