IBIBM
Data Engineer-Data Platforms-SnowFlake
Pune Posted 6 Oct 2026
FULL TIME
snowflake
data engineering
Cloud Computing
Cloud Integration
Job Description
Introduction
A career with IBM Consulting is anchored in fostering long-lasting client partnerships and collaborating closely on a global scale. You will engage with prominent companies across diverse sectors, assisting them in navigating their hybrid cloud and AI transformations. With backing from our strategic allies, advanced IBM technology, and Red Hat, you will possess the resources needed to instigate meaningful change and enhance client outcomes. At IBM Consulting, curiosity is the cornerstone of achievement. You will be inspired to question the status quo, investigate innovative concepts, and devise creative solutions that yield tangible results. Our nurturing culture emphasizes personal growth and understanding, prioritizing your professional development while appreciating your distinctive skills and experiences.
Your Role And Responsibilities
As a Data Engineer focused on Data Platforms-SnowFlake, you will play an essential role in the construction and improvement of Snowflake platforms tailored for clients' Data and AI applications. This role is centered on executing Data and AI solutions on Snowflake platforms.
Your Primary Responsibilities Will Include
Master's Degree
Required Technical And Professional Expertise
A career with IBM Consulting is anchored in fostering long-lasting client partnerships and collaborating closely on a global scale. You will engage with prominent companies across diverse sectors, assisting them in navigating their hybrid cloud and AI transformations. With backing from our strategic allies, advanced IBM technology, and Red Hat, you will possess the resources needed to instigate meaningful change and enhance client outcomes. At IBM Consulting, curiosity is the cornerstone of achievement. You will be inspired to question the status quo, investigate innovative concepts, and devise creative solutions that yield tangible results. Our nurturing culture emphasizes personal growth and understanding, prioritizing your professional development while appreciating your distinctive skills and experiences.
Your Role And Responsibilities
As a Data Engineer focused on Data Platforms-SnowFlake, you will play an essential role in the construction and improvement of Snowflake platforms tailored for clients' Data and AI applications. This role is centered on executing Data and AI solutions on Snowflake platforms.
Your Primary Responsibilities Will Include
- Implement Data and AI Use Cases: Execute data and AI use cases on Snowflake platforms, ensuring smooth integration and peak performance.
- Enhance Snowflake Platform: Develop and refine Snowflake platforms to adapt to the changing requirements of clients' Data and AI applications.
- Leverage Key Skills: Utilize your proficiency in Snowflake, data engineering, and cloud computing to provide top-tier solutions.
Master's Degree
Required Technical And Professional Expertise
- Snowflake Platform Expertise: Proficient experience with Snowflake platforms, including the development, enhancement, and implementation of data and AI use cases to fulfill client requirements.
- Data Engineering Knowledge: Familiarity with data engineering principles and methodologies to produce high-quality solutions on Snowflake platforms.
- Cloud Computing Skills: Understanding of cloud computing concepts and technologies and their relationship with Snowflake platforms.
- Implementation Expertise: Proven track record in executing data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Technical Solution Delivery: Demonstrated experience in applying technical skills to deliver solutions that align with client needs, utilizing Snowflake, data engineering, and cloud computing capabilities.
- Cloud Integration Knowledge: Familiarity with the integration of cloud computing technologies with Snowflake platforms, enhancing the implementation of data and AI use cases.
- Advanced Data Engineering: Experience in applying data engineering principles and practices to deliver exceptional solutions on Snowflake platforms, demonstrating expertise in Snowflake and cloud computing.
- Technical Solution Optimization: Proven experience in leveraging technical skills to enhance solutions on Snowflake platforms, ensuring seamless integration and optimal performance for data and AI applications.