We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions on the Snowflake cloud data platform. You will play a critical role in developing data pipelines, ensuring data integrity, and enabling advanced analytics and business intelligence across the organization.
This role requires strong expertise in Snowflake Inc., modern cloud ecosystems, and data warehousing best practices.
Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ELT processes using Snowflake
Build and optimize data models (star schema, snowflake schema, dimensional modeling)
Implement data ingestion frameworks from structured and unstructured data sources
Optimize performance through clustering, partitioning, and query tuning
Develop and maintain data quality and validation frameworks
Integrate Snowflake with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
Collaborate with data scientists, analysts, and stakeholders to deliver reliable datasets
Implement security best practices including role-based access control (RBAC) and data governance
Monitor and troubleshoot performance and data pipeline issues
3+ years of experience in data engineering
2+ years of hands-on experience with Snowflake
Strong SQL development and performance tuning expertise
Experience building ELT/ETL pipelines using tools such as dbt Labs, Informatica, or Fivetran
Experience with scripting languages such as Python
Experience with cloud storage (S3, Azure Blob, GCS)
Strong understanding of data warehousing concepts and best practices
Familiarity with CI/CD processes and DevOps practices
Snowflake certifications (SnowPro Core, Advanced)
Experience with orchestration tools (Airflow, Prefect, etc.)
Knowledge of data governance and compliance frameworks
Experience with real-time streaming tools (Kafka, Kinesis)
Experience supporting BI tools such as Tableau or Power BI
To apply for this role please submit your CV or contact Dillon Blackburn on or at .
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