IBIBM
Data Engineer-Data Platforms-SnowFlake
Hyderabad Posted 31 Oct 2026
FULL TIME
snowflake
data engineering
Cloud Computing
Job Description
Introduction
Build a career at IBM Consulting rooted in long-term client relationships and global collaboration. You’ll work with top companies across industries, supporting their hybrid cloud and AI transformations. Backed by strategic partners, proven IBM technology, and Red Hat, you’ll have the capabilities to drive meaningful change and speed up client impact. At IBM Consulting, curiosity powers success—so you’ll be encouraged to question the status quo, experiment with new ideas, and develop innovative solutions that produce measurable outcomes. Our growth-focused and empathetic culture supports your long-term career development while recognizing the value of your individual skills and experiences.
Your Role And Responsibilities
As a Data Engineer specializing in Data Platforms-SnowFlake, you will be responsible for building and improving Snowflake platforms that support clients’ Data and AI use cases. This role centers on implementing Data and AI use cases on Snowflake platforms.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
Build a career at IBM Consulting rooted in long-term client relationships and global collaboration. You’ll work with top companies across industries, supporting their hybrid cloud and AI transformations. Backed by strategic partners, proven IBM technology, and Red Hat, you’ll have the capabilities to drive meaningful change and speed up client impact. At IBM Consulting, curiosity powers success—so you’ll be encouraged to question the status quo, experiment with new ideas, and develop innovative solutions that produce measurable outcomes. Our growth-focused and empathetic culture supports your long-term career development while recognizing the value of your individual skills and experiences.
Your Role And Responsibilities
As a Data Engineer specializing in Data Platforms-SnowFlake, you will be responsible for building and improving Snowflake platforms that support clients’ Data and AI use cases. This role centers on implementing Data and AI use cases on Snowflake platforms.
Your Primary Responsibilities Will Include
- Implement Data and AI Use Cases: Implement data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Enhance Snowflake Platform: Design, build, and enhance Snowflake platforms so they align with the changing needs of clients’ Data and AI use cases.
- Leverage Key Skills: Use your knowledge of Snowflake, data engineering, and cloud computing to deliver high-quality solutions.
Master's Degree
Required Technical And Professional Expertise
- Snowflake Platform Expertise: Experience with Snowflake platforms, including building, enhancing, and implementing data and AI use cases to address client requirements.
- Data Engineering Knowledge: Experience applying data engineering principles and practices to deliver high-quality solutions on Snowflake platforms.
- Cloud Computing Skills: Familiarity with cloud computing concepts and technologies, including how they connect and 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 using technical expertise to deliver solutions that meet client needs by leveraging Snowflake, data engineering, and cloud computing capabilities.
- 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 principles and practices to deliver high-quality solutions on Snowflake platforms, using strengths 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.
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