EY-GDS Consulting-AI And DATA-Databricks-Manager

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EY GDS – AI And Data – Databricks Data Engineer

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 Databricks in a cloud environment


• 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


• Collaborate with cross-functional teams to manage project timelines and deliverables

Skills and attributes for success

• 7-10 years of experience in developing data ingestion, data processing, and data migration, relational databases, and data warehouse solutions


• Hands-on experience with Databricks


• Proficiency in PySpark


• Knowledge of ETL/ELT processes and data pipeline orchestration.


• Experience with Delta Lake, Lakehouse architecture.


• Proficiency in Python


• Knowledge of using Unity Catalog and security best practices.


• Develop data ingestion workflows from multiple sources (SQL Server, APIs, flat files, cloud storage).


• Optimize SQL queries and Spark jobs for performance and scalability.


• Experience with Azure components especially ADF, ADLS etc.


• Experience in implementing complex data transformations


• Knowledge in Data Streaming


• 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 7-10 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


• Knowledge of run/change operations

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