Data Engineer-Data Platforms-SnowFlake
IBM · Posted Nov 1
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with clients on hybrid cloud and AI journeys, leveraging IBM technology, strategic partners, and Red Hat. The Data Platforms role focuses on Snowflake-based data and AI solutions for client use cases. This Data Engineer will implement and enhance Snowflake platform capabilities to support Data and AI applications.
What you will do
- Design and Implement Solutions: Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Enhance Platform Capabilities: Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.
- Leverage Key Skills: Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions.
Skills used in this role
What the employer is looking for
- Snowflake Platform Expertise: Experience with designing and implementing data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Data Engineering Knowledge: Experience with data engineering principles and practices, including data modeling, data warehousing, and data governance.
- Cloud Technology Proficiency: Experience with cloud technologies, including migration, deployment, and management of cloud-based data platforms.
- Solution Implementation Skills: Experience with implementing data and AI solutions on Snowflake platforms, leveraging expertise in Snowflake, Data Engineering, and Cloud technologies.
- Platform Enhancement Capabilities: Experience with building and enhancing Snowflake platform capabilities to meet client needs and advance Data and AI applications.
- Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI usecases on Snowflake platforms.
- Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices.
- Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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