Data Engineer-Data Platforms-Databricks

About the Role

As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration.

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 to implement use cases on the Databricks platform.

Requirements & Tech Stack

• Databricks Platform Expertise
• Data Engineering Skills
• Cloud Technology Knowledge
• Implementation Expertise
• Technical Collaboration

Qualifications

• Master's Degree
• Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
• Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
• Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
• Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
• Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
• Preferred exposure to cloud migration knowledge for data and AI applications, advanced data engineering, and AI solution implementation on Databricks platforms.