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About the role
Job Title: Data Platform Engineer Databricks We are looking for a Data Platform Engineer with 3 + years of experience in Databricks Unified Data Analytics Platform to design, build, and optimize scalable enterprise data solutions. The ideal candidate should have strong expertise in data integration, ETL processes, cloud-based analytics, and Python/Scala , along with exposure to Generative AI / Agentic AI concepts. Key Responsibilities: Design, develop, and maintain scalable data platform solutions using Databricks Build and optimize ETL pipelines and data integration workflows Collaborate with data architects and cross-functional teams to ensure seamless data flow and platform integration Work on cloud-based data and analytics solutions to support business requirements Apply AI-first approaches, including Generative AI and Agentic AI, to improve data-driven business processes Troubleshoot, monitor, and enhance data platform performance, scalability, and reliability Contribute to solution design, development, and delivery of enterprise-grade applications Required Skills: Databricks Unified Data Analytics Platform Data Integration & ETL Processes Cloud Data Solutions / Analytics Python or Scala Understanding of Generative AI / Agentic AI concepts Experience: 3+ Years Education: 15 years full-time education
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