Data Engineer-Data Platforms-SnowFlake

Introduction

A career at IBM Consulting is driven by enduring client relationships and close collaboration across the globe. You’ll work with leading organizations across industries, supporting their hybrid cloud and AI initiatives. With backing from strategic partners, access to IBM technology, and Red Hat, you’ll be equipped to create meaningful change and speed up client outcomes. At IBM Consulting, curiosity is a cornerstone of success. You’ll be supported to question the status quo, pursue new ideas, and develop creative solutions that deliver measurable results. Our growth-and-empathy culture supports your long-term career development while recognizing and valuing the skills and experiences that make you unique.

Your Role And Responsibilities

As a Data Engineer focused on Data Platforms-SnowFlake, you will play an essential role in designing and improving Snowflake platforms that support clients’ Data and AI use cases. This role centers on delivering Data and AI capabilities on Snowflake platforms.

Your Primary Responsibilities Will Include

• Implement Data and AI Use Cases: Deliver data and AI use cases on Snowflake platforms, ensuring smooth integration and strong performance.
• Enhance Snowflake Platform: Develop and improve Snowflake platforms to align with the changing requirements of clients’ Data and AI use cases.
• Leverage Key Skills: Use your knowledge of Snowflake, data engineering, and cloud computing to produce high-quality solutions.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Snowflake Platform Expertise: Experience with Snowflake platforms, including building, improving, and deploying data and AI use cases to satisfy client needs.
• Data Engineering Knowledge: Experience applying data engineering concepts and practices to deliver high-quality solutions on Snowflake platforms.
• Cloud Computing Skills: Familiarity with cloud computing principles and technologies, along with an understanding of how they connect with Snowflake platforms.
• Implementation Expertise: Experience implementing data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Technical Solution Delivery: Experience using technical expertise to deliver solutions that address client needs, using Snowflake, data engineering, and cloud computing skills.
  
  

Preferred Technical And Professional Experience

• Cloud Integration Knowledge: Exposure to integrating cloud computing concepts and technologies with Snowflake platforms to strengthen data and AI use case implementation.
• Advanced Data Engineering: Experience applying data engineering concepts and practices to deliver high-quality solutions on Snowflake platforms, using Snowflake and cloud computing expertise.
• Technical Solution Optimization: Experience using technical expertise to optimize solutions on Snowflake platforms, ensuring seamless integration and optimal performance for data and AI use cases.