Description

Architect and develop scalable data warehousing solutions within the Snowflake and AWS ecosystem.

Responsibilities

• Architect, design, and develop efficient data warehousing solutions using Snowflake.
• Implement ETL processes to integrate data from various sources into Snowflake.
• Manage Snowflake accounts, including user access, security, and performance tuning.
• Collaborate with data scientists and analysts to translate business requirements into effective data models.
• Monitor system health, troubleshoot performance issues, and maintain documentation for data models and processes.

Required Skills

• 5+ years of experience as a Data Engineer.
• Proficiency in SQL and Python.
• Hands-on experience with Snowflake and the AWS stack.
• Strong understanding of ETL processes and data integration techniques.
• Experience with database design and optimization.
• Proven ability in performance tuning and optimization of Snowflake queries.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Bachelor's degree