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EY GDS AI and Data Databricks Data Engineer

Were 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

• 3-5 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 3-5 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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