Manager AI And DATA Databricks

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS AI And Data Databricks Data Engineer 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 Handson 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 handson 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/selfmotivated 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 enterprisegrade 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 At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS AI And Data Databricks Data Engineer 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 Handson 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 handson 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/selfmotivated working style with strong personal ownership of problem resolution Strong analytical skills and enjoys solving complex technical problems Proficiency in so