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 clients' Data and AI use cases. This position focuses on implementing Data and AI use cases on Snowflake platforms.

Key Responsibilities

• Implement Data and AI Use Cases on Snowflake platforms.
• Build and enhance Snowflake platforms to meet evolving client needs.
• Leverage expertise in Snowflake, data engineering, and cloud computing.

Requirements & Tech Stack

• Snowflake Platform Expertise: Experience with Snowflake platforms, including building, enhancing, and implementing data and AI use cases.
• Data Engineering Knowledge: Experience working with data engineering principles and practices.
• Cloud Computing Skills: Exposure to cloud computing concepts and technologies.
• Implementation Expertise: Experience implementing data and AI use cases on Snowflake platforms.
• Technical Solution Delivery: Experience applying technical expertise to deliver solutions.

Qualifications

• Preferred Education: Master's Degree
• Preferred Technical and Professional Experience:
• Cloud Integration Knowledge: Exposure to integrating cloud computing concepts and technologies with Snowflake platforms.
• Advanced Data Engineering: Experience with data engineering principles and practices, leveraging expertise in Snowflake and cloud computing.
• Technical Solution Optimization: Experience applying technical expertise to optimize solutions on Snowflake platforms.