Join IBM Consulting and shape the future of hybrid cloud and AI for leading companies worldwide. Our FutureNow Centers deliver deep technical and industry expertise to public and private sector clients, driving innovation and technology adoption. At IBM Consulting, curiosity and collaboration are key. We foster a culture of growth, empathy, and continuous learning, empowering you to challenge the norm and create impactful solutions.

This role focuses on building and enhancing the Databricks platform for client's Data and AI use cases. You'll leverage your expertise to implement cutting-edge solutions and collaborate closely with clients to understand and fulfill their data and AI needs. We offer a supportive environment for long-term career development, valuing your unique skills and experiences.

As a Data Engineer specializing in Data Platforms and Databricks, you will be instrumental in developing and refining the Databricks platform for diverse Data and AI applications.

Key responsibilities include: - Implementing robust Data and AI use cases on the Databricks platform, ensuring optimal performance and seamless integration. - Enhancing the Databricks platform to precisely meet evolving client requirements, utilizing expertise in data engineering and cloud technologies. - Providing critical technical support to clients, understanding their specific data and AI needs, and guiding the implementation of tailored use cases on Databricks.

We are seeking individuals with substantial experience in Data Engineering and Databricks.

Required expertise includes: - Proven experience with Databricks platform development and enhancement for data and AI use cases. - Strong command of data engineering principles, including cloud-based data processing, storage, and retrieval. - Solid understanding of cloud technologies, encompassing migration, deployment, and management of data and AI applications. - Demonstrated ability to implement data and AI use cases on Databricks, ensuring effective integration and performance. - Experience collaborating with clients to define and meet their data and AI objectives.

Preferred experience involves cloud migration, advanced data engineering practices, and AI solution implementation within cloud environments.