Data Engineer-Data Platforms-Databricks

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 position focuses on implementing Data and AI use cases on the Databricks platform, leveraging expertise in data engineering and cloud technologies.
Your Primary Responsibilities Will Include
Develop Databricks Platform: Implement Data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
Enhance Data Engineering: Design and develop data engineering solutions on Databricks, aligning with client requirements and industry best practices.
Collaborate on Cloud Solutions: Work with stakeholders to deliver cloud-based data solutions, leveraging Databricks and data engineering expertise.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
Databricks Platform Expertise: Experience with designing and implementing Data and AI use cases on Databricks platform, with a strong understanding of its architecture and components.
Data Engineering Knowledge: Experience with data engineering principles, methodologies, and tools, including data warehousing, ETL, and data governance.
Cloud Computing Skills: Experience with cloud-based data solutions, including migration, deployment, and management of data workloads on cloud platforms.
Technical Implementation: Experience with implementing data engineering solutions on Databricks, including data pipeline development, data quality, and data security.
Use Case Development: Experience with developing and deploying Data and AI use cases on Databricks platform, including data preparation, model training, and model deployment.
Preferred Technical And Professional Experience
Cloud Migration Expertise: Experience with migrating data workloads to cloud platforms, including assessing existing infrastructure and applications for cloud readiness.
Advanced Data Engineering: Experience with designing and implementing complex data engineering solutions on Databricks, including data pipeline development and data quality.
AI Use Case Development: Experience with developing and deploying AI use cases on Databricks platform, including data preparation, model training, and model deployment.

Work arrangement
Hybrid