Description

Lead end-to-end data warehouse implementations and manage complex data engineering lifecycles.

Responsibilities

• Implement end-to-end Snowflake cloud data warehouse solutions across cloud and on-premise environments.
• Design and develop ETL processes using Test-Driven Development principles.
• Apply data warehousing principles to structure and manage large-scale datasets.
• Execute data warehouse implementations and manage the full data engineering lifecycle.

Required Skills

• 10+ years of experience in Data Engineering projects.
• 3+ years of experience specifically within Data & Analytics.
• 3+ years of experience in end-to-end Snowflake cloud data warehouse implementations.
• Proven experience with dbt in recent years.
• Strong proficiency in SQL and data warehousing principles.
• Hands-on experience with Snowflake design and engineering.
• Experience with ETL design and development.
• Working knowledge of one major cloud provider: Azure, AWS, or GCP.
• Experience with recent on-premise data warehouse implementations.

Key Skills

Education

Any Graduate