Data Engineer-Data Platforms-SnowFlake

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

• Design and Implement Solutions: Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Enhance Platform Capabilities: Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.
• Leverage Key Skills: 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)