CloudHive ยท 2 weeks ago
Snowflake Data Engineer
Responsibilities
Gather business requirements and design data models for a multi-layer Snowflake data warehouse
Build ingestion and ELT pipelines using Snowflake features (e.g., warehouses, Streams & Tasks, stages) and SQL for transformations and data quality checks
Implement data quality validations, performance tuning, and security measures to ensure reliable, analytics-ready data
Integrate with tools like DevOps Repos for Git-based version control and Power BI for reporting
Support production deployments, troubleshoot issues, and provide documentation for seamless handover
Collaborate with stakeholders to optimize pipelines and align with analytics goals
Qualification
Required
4+ years of hands-on experience in Snowflake data engineering, including multi-layer warehouse design and ELT processes
Proficiency in Snowflake (warehouses, Streams & Tasks, stages), advanced SQL, Git-based version control (e.g., DevOps Repos), and Power BI integration
Strong skills in data modeling, ingestion, transformations, performance optimization, and data quality implementation
Experience with production deployments and secure, validated data pipelines
Excellent problem-solving and communication skills for cross-functional collaboration
Preferred
Snowflake certification (e.g., SnowPro Core)
Company
CloudHive
CloudHive is your North America and LATAM Snowflake-focused staffing partner.
Funding
Current Stage
Early StageCompany data provided by crunchbase