IBIBM
Data Engineer-Data Platforms-SnowFlake
Bangalore Posted 14 Oct 2026
FULL TIME
snowflake
data engineering
Cloud Computing
Cloud Integration
Job Description
Introduction
A career with IBM Consulting is centered around fostering lasting relationships with clients and collaborating on a global scale. You will engage with top-tier companies across various industries, guiding them in their hybrid cloud and AI transformations. With the backing of our strategic partners, cutting-edge IBM technology, and Red Hat, you will be equipped to instigate significant change and enhance client outcomes. At IBM Consulting, curiosity drives our achievements. You will be encouraged to challenge conventional thinking, explore innovative concepts, and develop creative solutions that yield tangible results. Our culture emphasizes growth and empathy, prioritizing your long-term career progression while appreciating your distinct skills and experiences.
Your Role And Responsibilities
As a Data Engineer focused on Data Platforms-SnowFlake, you will be instrumental in constructing and refining Snowflake platforms tailored for clients' Data and AI initiatives. This role centers on executing Data and AI use cases on Snowflake platforms.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
A career with IBM Consulting is centered around fostering lasting relationships with clients and collaborating on a global scale. You will engage with top-tier companies across various industries, guiding them in their hybrid cloud and AI transformations. With the backing of our strategic partners, cutting-edge IBM technology, and Red Hat, you will be equipped to instigate significant change and enhance client outcomes. At IBM Consulting, curiosity drives our achievements. You will be encouraged to challenge conventional thinking, explore innovative concepts, and develop creative solutions that yield tangible results. Our culture emphasizes growth and empathy, prioritizing your long-term career progression while appreciating your distinct skills and experiences.
Your Role And Responsibilities
As a Data Engineer focused on Data Platforms-SnowFlake, you will be instrumental in constructing and refining Snowflake platforms tailored for clients' Data and AI initiatives. This role centers on executing Data and AI use cases on Snowflake platforms.
Your Primary Responsibilities Will Include
- Implement Data and AI Use Cases: Execute data and AI use cases on Snowflake platforms, ensuring seamless integration and peak performance.
- Enhance Snowflake Platform: Develop and improve Snowflake platforms to align with the dynamic demands of clients' Data and AI initiatives.
- Leverage Key Skills: Utilize your expertise in Snowflake, data engineering, and cloud computing to provide high-quality solutions.
Master's Degree
Required Technical And Professional Expertise
- Snowflake Platform Expertise: Proven experience with Snowflake platforms, including the construction, enhancement, and implementation of data and AI use cases tailored to client requirements.
- Data Engineering Knowledge: Familiarity with data engineering principles and practices to deliver superior solutions on Snowflake platforms.
- Cloud Computing Skills: Understanding of cloud computing concepts and technologies, and how they interface with Snowflake platforms.
- Implementation Expertise: Demonstrated experience in executing data and AI use cases on Snowflake platforms, ensuring smooth integration and optimal performance.
- Technical Solution Delivery: Proven ability to apply technical expertise to create solutions that fulfill client needs through Snowflake, data engineering, and cloud computing skills.
- Cloud Integration Knowledge: Familiarity with integrating cloud computing concepts and technologies with Snowflake platforms to enhance the implementation of data and AI use cases.
- Advanced Data Engineering: Experience with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms, utilizing your expertise in Snowflake and cloud computing.
- Technical Solution Optimization: Proven experience in applying technical skills to optimize solutions on Snowflake platforms, ensuring seamless integration and peak performance for data and AI use cases.