Data Engineer-Data Platforms-SnowFlake
IBM · Posted Oct 9
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with leading companies across industries to help them shape their hybrid cloud and AI journeys, supported by strategic partners, IBM technology, and Red Hat. The Data & Analytics practice focuses on building and enhancing Snowflake platforms for clients' Data and AI use cases. This role implements data and AI use cases on Snowflake platforms, applying data engineering and cloud computing expertise to ensure seamless integration and optimal performance.
What you will do
- Implement Data and AI Use Cases: Implement data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Enhance Snowflake Platform: Build and enhance Snowflake platforms to meet the evolving needs of clients' Data and AI use cases.
- Leverage Key Skills: Apply expertise in Snowflake, data engineering, and cloud computing to deliver high-quality solutions.
Skills used in this role
What the employer is looking for
- Snowflake Platform Expertise: Experience with Snowflake platforms, including building, enhancing, and implementing data and AI use cases to meet client needs.
- Data Engineering Knowledge: Experience working with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms.
- Cloud Computing Skills: Exposure to cloud computing concepts and technologies, with an understanding of how they integrate 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 applying technical expertise to deliver solutions that meet client needs, leveraging Snowflake, data engineering, and cloud computing skills.
- Cloud Integration Knowledge: Exposure to integrating cloud computing concepts and technologies with Snowflake platforms, enhancing data and AI use case implementation.
- Advanced Data Engineering: Experience working with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms, leveraging expertise in Snowflake and cloud computing.
- Technical Solution Optimization: Experience applying technical expertise to optimize solutions on Snowflake platforms, ensuring seamless integration and optimal performance for data and AI use cases.
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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