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Data Engineer – Snowflake

  • On-site
  • CA$55 - CA$58 per hour

Full Time

Current Vacancy

Job description

Overview

We are looking for a Data Engineer – Snowflake to design, build, and optimize scalable cloud data solutions. The ideal candidate has strong experience with Snowflake, modern 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.

Job requirements

  • 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.

  • Strong 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.

On-site
  • Toronto, Ontario, Canada
CA$55 - CA$58 per hour

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