Description

You will lead data warehousing projects and architect end-to-end data integration processes within a Snowflake environment.

Responsibilities

• Design and build manual or automated data ingestion pipelines using Snowpipe.
• Develop stored procedures and write complex queries to analyze and transform data.
• Implement cloud-based enterprise data warehouse solutions and data movement strategies.
• Manage Snowflake architecture including resource monitors, RBAC controls, virtual warehouses, and query performance tuning.
• Update modeling principles and processes to ensure alignment with business requirements.

Required Skills

• 10+ years of industry experience in Data Warehousing.
• Minimum 4 years of hands-on experience working with Snowflake.
• Expertise in Snowflake features including zero-copy clone, time travel, and SnowSQL.
• Strong knowledge of ETL/ELT processes and Snowpipe.
• Deep understanding of relational and NoSQL data stores.
• Proficiency in dimensional modeling, star, and snowflake schemas.
• Hands-on experience with SQL, Python, PL/SQL, and T-SQL.
• Experience managing structured, semi-structured, and unstructured data.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Key Skills

Education

Bachelor's degree