Data Engineer-Data Platforms-SnowFlake

Introduction

Join IBM Consulting, where long-term client relationships and global teamwork drive impactful outcomes. You’ll collaborate with top organizations across industries to help shape their hybrid cloud and AI strategies. Backed by strategic partners, enterprise IBM technology, and Red Hat, you’ll gain the capabilities needed to deliver meaningful change and strengthen client results. At IBM Consulting, curiosity is essential to success—you’ll be supported in challenging conventions, testing new ideas, and developing solutions that produce measurable value. Our growth- and empathy-focused culture supports your long-term career development while recognizing and leveraging your individual skills and experiences.

Your Role And Responsibilities

As a Data Engineer specializing in Data Platforms—SnowFlake, you will build and improve Snowflake platforms that enable clients’ Data and AI usecases. This role is centered on deploying Data and AI solutions within Snowflake platform environments.

Your Primary Responsibilities Will Include

• Design and Implement Solutions: Develop and implement Data and AI usecases on Snowflake platforms, supporting smooth integration and high performance.
• Enhance Platform Capabilities: Construct and expand Snowflake platform capabilities to align with client requirements and further Data and AI applications.
• Leverage Key Skills: Use your strengths in Snowflake, Data Engineering, and Cloud technologies to deliver reliable, high-quality solutions.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Snowflake Platform Expertise: Demonstrated experience designing and implementing Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Data Engineering Knowledge: Experience applying data engineering principles and practices, including data modeling, data warehousing, and data governance.
• Cloud Technology Proficiency: Experience working with cloud technologies, including migration, deployment, and ongoing management of cloud-based data platforms.
• Solution Implementation Skills: Experience implementing Data and AI solutions on Snowflake platforms, using expertise across Snowflake, Data Engineering, and Cloud technologies.
• Platform Enhancement Capabilities: Experience building and enhancing Snowflake platform capabilities to satisfy client needs and support the growth of Data and AI applications.
  
  

Preferred Technical And Professional Experience

• Advanced Snowflake Platform Knowledge: Experience using advanced Snowflake capabilities, including data sharing, data pipelines, and data security. Proven ability to design and implement sophisticated Data and AI usecases on Snowflake platforms.
• Cloud Architecture Expertise: Experience designing and implementing scalable, secure cloud architectures for Data and AI applications. Knowledge of best practices for cloud migration, deployment, and management.
• Data Engineering Best Practices: Experience implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize Data and AI solutions for performance and scalability.