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 skills and attention to detail.

Key Responsibilities

• Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
• Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.

Requirements & Tech Stack

• Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
• Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
• Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
• Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
• Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.

Qualifications

• Preferred Education: Master's Degree