We are seeking a skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions within our modern cloud data platform. You will play a key role in developing high-performance data pipelines, implementing data models, and enabling advanced analytics using Snowflake.
The ideal candidate has strong experience in cloud-based data warehousing, ETL/ELT development, and performance optimization, along with a passion for building reliable, scalable data systems.
Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Snowflake
Build and optimize data models (star/snowflake schema) to support business intelligence and analytics
Develop ELT processes using SQL, stored procedures, and cloud-native tools
Integrate data from multiple sources (APIs, databases, streaming platforms) into Snowflake
Implement data governance, security, masking, and role-based access controls
Monitor performance and optimize queries, clustering, and warehouse configurations
Collaborate with analytics, BI, and data science teams to deliver high-quality datasets
Support CI/CD processes and infrastructure-as-code for data deployments
Ensure data quality, validation, and observability best practices
3+ years of experience in data engineering
Hands-on experience with Snowflake (data modeling, performance tuning, security)
Strong SQL skills and experience with complex query optimization
Experience building ETL/ELT pipelines
Proficiency with at least one cloud platform:
Amazon Web Services (AWS)
Microsoft Azure (Azure)
Google Cloud Platform (GCP)
Experience with orchestration tools (e.g., Apache Airflow)
Experience with version control (e.g., Git)
Solid understanding of data warehousing concepts and dimensional modeling
To apply for this role please submit your CV or contact Dillon Blackburn on or at .
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