Overview We are looking for a Data Engineer – Snowflake to design, build, and optimize scalable cloud data solutions. The ideal candidate has solid experience with Snowflake, contemporary data pipelines, Python, SQL, and cloud platforms Key Responsibilities - Design and implement scalable Snowflake data architectures.
Build and maintain ETL/ELT pipelines using Snowpipe, Snowpark, Streams & Tasks, and dbt.
Develop Snowflake-native applications, UDFs, and automation tools.
Optimize performance, cost, and security within the Snowflake platform.
Implement CI/CD, Infrastructure as Code, and data governance best practices.
Collaborate with engineering teams and support platform enhancements.
5+ years of data engineering experience with hands-on Snowflake expertise.
Strong experience with Snowpark, Snowpipe, Streams & Tasks, SQL, and Python.
Experience with dbt and ETL/ELT tools such as Fivetran, Matillion, Airbyte, or StreamSets.
Knowledge of Terraform, CI/CD, and AWS, Azure, or GCP.
Robust understanding of data modeling, governance, and query optimization. Nice to Have - Snowflake SnowPro Certification.
Experience with Tableau, Power BI, or Looker.
Knowledge of data lineage or catalog tools.

📌 Data Engineer – Snowflake Toronto
🏢 High Tech Genesis
📍 Toronto