Snowflake Data Engineer

Toronto, Ontario, CanadaOnsiteFull TimePosted 2 months ago

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Role summary

We are seeking a Snowflake Data Engineer to lead the design and implementation of Snowflake-based data architectures. This role involves building and maintaining production ETL/ELT pipelines using tools like Snowpipe, Snowpark, Streams & Tasks, and various partner tools. You will also develop Snowflake-native utilities and applications to enhance developer productivity and data product delivery. Experience with dbt and relevant Snowflake certifications are highly valued.

Note:

Lead design and implementation of Snowflake-based data architectures: schemas, data vault/house/star models, materialized views, and zero-copy cloning patterns for environments.
Build and maintain production ETL/ELT pipelines into Snowflake using Snowpipe, Snowpark, Streams & Tasks and partner tools (Streamsets, dbt, Fivetran, Matillion, Airbyte, etc.).
Develop Snowflake-native utilities and apps (Snowpark for Python, UDFs, external functions, and internal tools) to accelerate developer productivity and data product delivery.
Snowflake SnowPro Core or advanced Snowflake certifications.
Experience with dbt (core or Cloud) for transformation and modular SQL engineering.

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