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

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

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EY GDS – Data and Analytics – 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

• 9 to 14 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
• Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmos DB, etc.
• Familiar with cloud services like Azure
• Hands-on experience on Spark/PySpark
• Hands-on experience in programming languages such as Python/Scala
• Knowledge in DevOps and CI/CD deployments
• Must have hands-on experience in SQL and procedural SQL languages
• Strong analytical skills and enjoys solving complex technical problems
• Proven ability to lead teams, manage resources, and drive projects to successful completion

To Qualify for the Role, You Must Have

• Be a computer science graduate or equivalent with 9 to 14 years of industry experience
• Have working experience in an Agile-based delivery methodology (preferable)
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Strong analytical skills and enjoys solving complex technical problems
• Proficiency in software development best practices
• Excellent debugging and optimization skills
• Experience in enterprise-grade solution implementations & in converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Excellent communicator (written and verbal, formal and informal)
• Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Client management skills
• Demonstrated leadership experience with the ability to manage and mentor team members effectively

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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.