EY - GDS Consulting - AI and DATA - Azure DBX - Staff

Job Description

We are looking for a highly skilled and experienced Azure Databricks Developer with 1 to 3 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in big data engineering and proven delivery capability. ### Roles and Responsibility Develop and deploy Azure Databricks in a cloud environment using Azure Cloud services. Design, develop, and deploy ETL processes to Cloud Services. Collaborate with Onshore teams to understand business goals and contribute to workstream delivery. Design and optimize model codes for faster execution. Work with cross-functional teams to identify and prioritize project requirements. Ensure high-quality deliverables and meet project deadlines. ### Job Requirements 1 to 3 years of experience in developing data ingestion, processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions. Extensive hands-on experience implementing data migration and processing using Azure services such as Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, etc. Hands-on experience in programming languages like Python/Pyspark. Good knowledge of DWH concepts and implementation on Snowflake. Well-versed in DevOps and CI/CD deployments. Strong analytical skills and ability to solve complex technical problems. Be a computer science graduate or equivalent with 1 to 3 years of industry experience. Experience working in an Agile-based delivery methodology is preferable. Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent debugging and optimization skills. Experience in Enterprise-grade solution implementations and converting business problems/challenges into technical solutions considering security, performance, scalability, etc. Excellent communicator (written and verbal) with formal and informal communication skills. Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support. Client management skills.