Data Engineer-Data Platforms-SnowFlake

IBM • LLM & Generative AI • Quantum Science & Computing • 2 days ago

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Location

In office (Kolkata)

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

ibm.com • HQ: Armonk, United States • LLM & Generative AI • Quantum Science & Computing • Quantum Computing Hardware • Servers & Data Center Hardware • Cloud Platforms (IaaS & PaaS) • IT Consulting & Digital Transformation • 5000+ employees • Est. 1911

Tech stack of IBM

Backed by CRV, Valueaddvc, Matrix

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Engineer specializing in Data Platforms-SnowFlake, you play a critical role in building and enhancing Snowflake platforms for clients' Data and AI use cases. This position focuses 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: 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.
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. India Data & Analytics Hybrid Professional Kolkata, IN (0063) IBM India Private Limited

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