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

, kerala, India -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

0.0

Posted On

01 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, ETL Design, Data Migration, Data Processing, Spark, PySpark, Python, Scala, SQL, DevOps, CI/CD, Analytical Skills, Leadership, Client Management, Agile Methodology, Debugging, Optimization

Industry

Professional Services

Description

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 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 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.

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Responsibilities

Develop and deploy Azure Databricks in a cloud environment and lead a team of data engineers and analysts. Collaborate with cross-functional teams to manage project timelines and deliverables.