Data Engineer-Data Platforms-Databricks

Role overview

Data Engineer-Data Platforms-Databricks at IBM

Responsibilities

• You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.
• Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
• Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.

Employment details

• India Data & Analytics Hybrid Professional Kolkata, IN Kolkata (0063) IBM India Private Limited Artificial Intelligence Data Processing Infrastructure Integration Management Storage Cloud Migration Solution implementation Data Engineering Cloud Technology Databricks Use Cases Collaboration
• Location: Kolkata [India]

About the employer

• A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
• With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact.

Additional role details

• You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
• At IBM Consulting, curiosity fuels success.
• Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
• 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 expertise and collaboration.
• Your primary responsibilities will include:
• Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
• Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing 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 on cloud-based infrastructure.
• Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
• Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
• 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.