EY - GDS Consulting - AI And DATA - Data Engineer - Manager

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 GDS – Data and Analytics (D&A) – Azure Data Engineer -Manager

We're looking for candidates with strong technology and data understanding in the big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your Key Responsibilities

• Develop & deploy Azure Databricks in a cloud environment using Azure Cloud services
• ETL design, development, and deployment to Cloud Service
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
• Design and optimize model codes for faster execution
• Lead and mentor a team of data engineers and analysts, ensuring high-quality delivery and fostering professional growth
• Collaborate with cross-functional teams to manage project timelines and deliverables

Skills And Attributes For Success

To qualify for the role, you must have

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Skills Required

Data Migration, Pyspark, Scala, Etl Design, Data Processing, Azure Databricks, Sql, Devops, Azure Data Factory, Azure Functions, Spark, Cosmos DB, Azure Cloud Services, Python