Data Engineer-Data Platforms-Databricks

Overview

Embark on a fulfilling career with IBM Consulting, where you will cultivate enduring client relationships and engage in close collaboration on a global scale. You'll partner with prominent companies across various sectors, assisting them in navigating their hybrid cloud and AI transformations. Supported by our strategic alliances, cutting-edge IBM technology, and Red Hat, you'll be equipped to instigate significant change and enhance client outcomes. At IBM Consulting, a spirit of curiosity propels achievements. You will be inspired to challenge conventional thinking, explore innovative concepts, and devise solutions that yield tangible results. Our culture prioritizes growth and empathy, focusing on your long-term career trajectory while appreciating your unique talents and experiences.

Your Responsibilities

In the capacity of a Data Engineer with a focus on Data Platforms-Databricks, your contributions will be vital in developing and refining the Databricks platform for client-specific Data and AI applications. This position requires robust technical skills and collaborative efforts.

Your core responsibilities will include:

• Implementing Data and AI Applications: Execute Data and AI initiatives on the Databricks platform, ensuring seamless integration and peak performance.

• Enhancing the Databricks Platform: Develop and improve the Databricks platform to align with client expectations, utilizing your knowledge in data engineering and cloud technologies.

• Assisting Client Initiatives: Work alongside clients to grasp their data and AI needs, offering technical guidance to implement applications on the Databricks platform.

Required Education

Bachelor's Degree

Preferred Education

Master's Degree

Essential Technical and Professional Skills

• Expertise in Databricks Platform: Proven experience in constructing and enhancing Databricks platforms for data and AI applications, including the deployment of data and AI solutions.

• Proficiency in Data Engineering: Familiarity with data engineering principles and practices, encompassing data processing, storage, and retrieval on cloud-based systems.

• Knowledge of Cloud Technologies: Experience with cloud technologies, focusing on the migration, deployment, and management of data and AI applications within cloud infrastructures.

• Implementation Proficiency: Experience in executing data and AI use cases on Databricks platforms, ensuring smooth integration and maximum performance.

• Collaborative Technical Skills: Proven ability to work in partnership with clients to identify their data and AI requirements, delivering technical expertise for the implementation of use cases on the Databricks platform.

Necessary Skills

Artificial Intelligence, Cloud Migration, Cloud Technology, Collaboration, Data Engineering, Data Processing, Databricks, Infrastructure, Integration, Management, Solution Implementation, Storage, Use Cases