Data Engineer-Data Platforms-Databricks

Mployee.me; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

IBM Consulting in Bengaluru, India, is seeking a Data Engineer specializing in Data Platforms-Databricks to build and enhance the Databricks platform for client Data and AI use cases. This role requires strong technical expertise and collaboration to implement data and AI solutions on the Databricks platform.

The role focuses on implementing data and AI use cases, enhancing the platform, and working closely with clients to meet their data and AI requirements.

Qualifications

• Master's degree required in a relevant field.
• Extensive Databricks platform experience for data and AI use cases.
• Strong data engineering skills on cloud-based platforms.
• Experience migrating and deploying data/AI apps on cloud infrastructure.
• Ability to collaborate with clients to define data and AI requirements.

Responsibilities

• Implement data and AI use cases on the Databricks platform.
• Enhance the Databricks platform to meet client needs.
• Work with clients to understand requirements and deliver solutions.

Skills

Databricks platform

Data engineering

Cloud technologies

Implementation expertise

Client collaboration

Education

Master's degree

Job description

Introduction

A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. 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. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

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

• Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
• Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
• 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.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 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.

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.