Data Engineer-Data Platforms-SnowFlake
IBM
Bengaluru, Karnataka, India3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Master's degree
- Nice to have
- SnowflakeETL
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Listed
- 28 Oct 2026 · still open
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About the Role
As a Data Engineer specializing in Data Platforms-SnowFlake, you play a critical role in building and enhancing Snowflake platforms for client's Data and AI usecases. This position focuses on implementing Data and AI solutions on Snowflake platforms.
Key Responsibilities
- Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.
- Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions.
Requirements & Tech Stack
- Snowflake Platform Expertise: Experience with designing and implementing data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
- Data Engineering Knowledge: Experience with data engineering principles and practices, including data modeling, data warehousing, and data governance.
- Cloud Technology Proficiency: Experience with cloud technologies, including migration, deployment, and management of cloud-based data platforms.
- Solution Implementation Skills: Experience with implementing data and AI solutions on Snowflake platforms, leveraging expertise in Snowflake, Data Engineering, and Cloud technologies.
- Platform Enhancement Capabilities: Experience with building and enhancing Snowflake platform capabilities to meet client needs and advance Data and AI applications.
Qualifications
- Master's Degree (Preferred)
- Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI usecases on Snowflake platforms.
- Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices.
- Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability.