EY GDS – Data and Analytics (D&A) – Azure 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. 

The opportunity

We’re looking for candidates with strong technology and data understanding in 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 big data pipelines in a cloud environment using Azure Cloud services
• ETL design, development and migration of existing on-prem ETL routines to Cloud Service
• Interact with senior leaders, understand their business goals, contribute to the delivery of the workstreams
• Design and optimize model codes for faster execution

Skills and attributes for success

• Overall 3+ years of IT experience with 2+ Relevant experience in Azure Data Factory (ADF) and good hands-on with Exposure to latest ADF Version 
• Hands-on experience on Azure functions & Azure synapse (Formerly SQL Data Warehouse) 
• Should have project experience in Azure Data Lake / Blob (Storage purpose) 
• Should have basic understanding on Batch Account configuration, various control options 
• Sound knowledge in Data Bricks & Logic Apps 
• Should be able to coordinate independently with business stake holders and understand the business requirements, implement the requirements using ADF

To qualify for the role, you must have

• Be a computer science graduate or equivalent with 3-7 years of industry experience
• Have working experience in an Agile base delivery methodology (Preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.