Data Engineer-Data Platforms-Databricks

Introduction

Embark on a rewarding career with IBM Consulting, where success is rooted in cultivating enduring client partnerships and fostering collaborative global relationships. You will partner with industry-leading organizations across diverse sectors, guiding them through their hybrid cloud and artificial intelligence (AI) transformation journeys. Supported by our strategic alliances, cutting-edge IBM technologies, and Red Hat solutions, you will have the essential tools to drive impactful change and accelerate client success. At IBM Consulting, we believe curiosity is the key to achievement. We encourage you to challenge conventional thinking, explore innovative ideas, and develop creative solutions that deliver tangible results. Our culture emphasizes growth, empathy, and the long-term development of your career, while honoring your unique skills and experiences.

Your Role and Responsibilities

As a Data Engineer with expertise in Data Platforms-Databricks, you will be instrumental in designing, building, and optimizing the Databricks platform to support clients’ Data and AI initiatives. Your role involves deploying Data and AI use cases on the Databricks platform, requiring strong technical proficiency and effective collaboration with stakeholders.

Key Responsibilities Include

• Implement Data and AI Use Cases: Develop and deploy data and AI solutions on the Databricks platform, ensuring smooth integration and high performance.
• Enhance the Databricks Platform: Build and improve the Databricks environment to align with client requirements, utilizing expertise in data engineering and cloud technologies.
• Support Client Use Cases: Engage with clients to understand their data and AI needs, providing technical guidance to successfully implement solutions on the Databricks platform.
  
  

Preferred Educational Background

Master's Degree

Required Technical and Professional Skills

• Databricks Platform Expertise: Proven experience in developing and optimizing Databricks platforms for data and AI use cases, including solution implementation.
• Data Engineering Proficiency: Strong understanding of data engineering concepts, including data processing, storage, and retrieval on cloud-based environments.
• Cloud Technology Experience: Knowledge of cloud platforms, including migration, deployment, and management of data and AI applications within cloud infrastructures.
• Implementation Skills: Demonstrated experience in deploying data and AI solutions on Databricks, ensuring seamless integration and optimal system performance.
• Technical Collaboration: Ability to work closely with clients to gather requirements and deliver technical solutions effectively on the Databricks platform.
  
  

Preferred Technical and Professional Experience

• Cloud Migration Experience: Exposure to migrating data and AI applications to cloud environments, including deployment and ongoing management on Databricks platforms.
• Advanced Data Engineering Skills: Experience with sophisticated data engineering practices, focusing on data processing, storage, and retrieval within cloud ecosystems.
• AI Solution Deployment: Experience in implementing AI solutions on Databricks, ensuring seamless integration and high-performance results.