Data Engineer-Data Platforms-Databricks

Introduction

Build a career at IBM Consulting rooted in lasting client relationships and teamwork across the globe. You’ll work with top organizations in a wide range of industries, supporting their hybrid cloud and AI objectives. Backed by strategic partners, powerful IBM technology, and Red Hat, you’ll gain the capabilities to drive meaningful transformation and help clients achieve faster, more effective impact. At IBM Consulting, curiosity drives results. You’ll be encouraged to question the status quo, test new ideas, and develop cutting-edge solutions that produce real outcomes. Our culture of learning and empathy supports your long-term career growth, while recognizing and valuing your individual skills and perspectives.

Your Role And Responsibilities

As a Data Engineer specializing in Data Platforms–Databricks, you will be responsible for developing and improving the Databricks platform to support clients’ Data and AI use cases. In this role, you will implement Data and AI use cases on the Databricks platform, applying strong technical expertise and working closely with others to deliver results.

Your Primary Responsibilities Will Include

• Implement Data and AI use cases: Create and deploy Data and AI use cases on the Databricks platform, ensuring smooth integration and high performance.
• Enhance Databricks Platform: Develop and improve the Databricks platform to align with client requirements, applying your expertise in data engineering and cloud technologies.
• Support Client Use Cases: Partner with clients to identify their Data and AI needs, and apply technical knowledge to implement use cases on the Databricks platform.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Databricks Platform Expertise: Experience creating and improving Databricks platforms for data and AI use cases, including the implementation of data and AI solutions.
• Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
• Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications across cloud-based infrastructure.
• Implementation Expertise: Experience implementing Data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
• Technical Collaboration: Experience working with clients to understand their Data and AI requirements and providing technical expertise to implement use cases on the Databricks platform.
  
  

Preferred Technical And Professional Experience

• Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
• Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
• AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.