Robust hands-on experience designing and operating Snowflake in production
Deep experience with Snowflake features, like Snowpark, Streams & Tasks, Snowpipe, Time Travel, cloning, materialized views, external functions and user-defined functions.
Hands-on ETL/ELT development experience with dbt, SQL, and one or more ingestion tools (Streamsets, Fivetran, Matillion, Airbyte, Kafka connectors).
Proficient in Python (Snowpark/connector), SQL tuning and query optimization techniques.
Experience with IaC and automation (Terraform, GitHub Actions, Jenkins, or equivalent).
Strong knowledge of cloud platforms and native services (AWS, Azure or GCP) as they relate to Snowflake deployment and integrations.
Solid understanding of medallion architecture, data modeling patterns, data governance, and secure data sharing.




Demonstrated ability to implement CI/CD, automated testing and production operational practices for data workloads.
Preferred qualifications
Snowflake SnowPro Core or advanced Snowflake certifications.
Experience with dbt (core or Cloud) for transformation and modular SQL engineering.
Experience with data virtualization, data catalogs or data lineage tools.
Familiarity with analytics and BI integrations (Looker, Tableau, Power BI) and building Snowflake-optimized semantic layers.
Experience building internal developer tools or data apps using Snowpark or lightweight web frameworks.

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📌 Data Engineer – Snowflake (Ontario)
🏢 Lorven Technologies
📍 Ontario