Description

Design and implement end-to-end Snowflake cloud and on-premise data warehouse architectures. Own the ETL/ELT pipeline lifecycle using Test-Driven Development principles.

Responsibilities

• Design and develop ETL/ELT pipelines using Snowflake SQL and TDD.
• Implement complex stored procedures and dimensional data models (star/snowflake).
• Manage data ingestion and movement via SnowSQL and SnowPipe.
• Apply Big Data modeling techniques using Python for data engineering workflows.
• Architect relational and NoSQL data stores within cloud environments.

Required Skills

• 3+ years of experience in Data & Analytics.
• 2+ years of hands-on experience with DBT (Data Build Tool).
• Expertise in Snowflake design, engineering, and Snowflake SQL.
• Snowflake certification required.
• Proven experience with ETL design and development.
• Deep understanding of data warehousing principles and dimensional modeling.
• Proficiency in Python for data modeling.
• Experience with at least one cloud provider: Azure, AWS, or GCP.
• Proficiency with SnowSQL and SnowPipe.

Key Skills

Education

Any Graduate