Job Description

Job Overview: We are looking for a Snowflake Administrator to manage and enhance our Snowflake data platform, with a heavy focus on using Python to automate and streamline administrative tasks. This role requires a skilled professional capable of independently handling moderately complex Snowflake operations, ensuring scalability and performance while collaborating with data teams. 

Primary Roles & Responsibilities:

·       Configure and optimize Snowflake environments, including virtual warehouses, storage, and compute resources.  

·       Develop and maintain Python scripts to automate Snowflake administration tasks, such as resource scaling, user provisioning, and usage monitoring.  

·       Implement data integration workflows in Snowflake using Python, leveraging libraries like snowflake-connector-python or pandas for ETL processes.  

·       Monitor and tune Snowflake performance, using Python to analyze usage patterns and optimize costs.  

·       Manage Snowflake security, including role-based access control (RBAC) and encryption, with Python-driven automation.  

·       Troubleshoot and resolve Snowflake issues, ensuring high availability and data integrity.  

·       Collaborate with data engineers and analysts to support data pipelines and reporting needs in Snowflake.  

·       Document Snowflake setups, Python automation scripts, and operational procedures. 

Preferred Skills:

·       Experience with Snowflake features like data sharing or zero-copy cloning. 

·       Familiarity with CI/CD tools or version control (e.g., Git) for managing Python scripts.

Qualifications & Skills:

·       Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).  

·       3-5 years of experience in data platform administration or a related role, with at least 1-2 years using Snowflake.  

·       Strong proficiency in Snowflake administration, including SQL, Snowpipe, and resource management.  

·       Advanced Python skills, with experience in automation, data manipulation (e.g., pandas, numpy), and Snowflake integration.  

·       Solid understanding of cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.  

·       Good problem-solving skills and ability to work independently.  

·       Effective communication skills for collaborating with technical and business teams.