Data Engineer Data Platforms Databricks

Role Overview As a Data Engineer specializing in Data Platforms Databricks, you will play a critical role in building and enhancing the Databricks platform for client Data and AI use cases. This role involves implementing Data and AI solutions on the Databricks platform with strong technical expertise and client collaboration. You will work on seamless integration and optimal performance delivery. Key Responsibilities - Implement data and AI use cases on the Databricks platform ensuring seamless integration and optimal performance - Build and enhance the Databricks platform to meet client needs leveraging expertise in data engineering and cloud technologies - Collaborate with clients to understand their data and AI requirements providing technical expertise for use case implementation - Support client success by delivering solutions on the Databricks platform with focus on cloud migration and deployment Required Qualifications - Bachelor's degree in any discipline - 7 to 9 years of experience with Databricks platform expertise - Strong data engineering skills with experience in data processing storage and retrieval on cloud-based platforms - Cloud technology knowledge including migration deployment and management of data and AI applications - Experience implementing data and AI use cases on Databricks platforms with technical collaboration capabilities Why Join Us Join IBM to work on cutting-edge data and AI solutions using the latest Databricks platform technologies. You will collaborate with leading clients to deliver innovative data engineering solutions that drive business impact.

- Databricks platform expertise and implementation experience - Data engineering principles and practices knowledge - Cloud technologies migration and deployment experience - Data processing storage and retrieval skills - Cloud infrastructure management expertise - Data and AI use case implementation experience - Technical collaboration and client interaction skills - Master's degree preferred - Advanced data engineering exposure - AI solution implementation experience

- Full time permanent position - Work with leading global clients - Exposure to cutting-edge cloud technologies - Professional development opportunities - Career growth in data engineering and AI solutions