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Data Engineer - Snowflake

Lumenalta

Toronto

Remote

CAD 90,000 - 130,000

Full time

Yesterday
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Job summary

A leading company specializing in digital products is seeking a remote Data Engineer with expertise in Snowflake. The role involves building and optimizing ETL/ELT pipelines and managing complex datasets. Ideal candidates will have 7+ years of experience and strong skills in Python, SQL, AWS, and data modeling.

Qualifications

  • 7+ years of data engineering experience.
  • Strong hands-on experience with Snowflake.
  • Fluent in English, both spoken and written.

Responsibilities

  • Build and maintain ETL/ELT pipelines using Snowflake.
  • Optimize data models and manage large datasets.
  • Collaborate with cross-functional teams for data needs.

Skills

Data Engineering
Python
SQL
AWS
Snowflake

Tools

dbt
Airflow
Fivetran

Job description

Join to apply for the Data Engineer - Snowflake role at Lumenalta.

We partner with global enterprises to launch digital products that interact with millions of users and handle massive data volumes. Our work requires scalable architecture, creative problem-solving, and seamless platform integration.

What You'll Do

  • Join the team as a Senior-Level Data Engineer.
  • Build and maintain robust ETL/ELT pipelines using Snowflake.
  • Optimize data models and manage large, complex datasets.
  • Use tools like Python, raw SQL, dbt, and AWS to deliver high-performance solutions.
  • Collaborate with cross-functional teams to support enterprise data needs.

What We’re Looking For

  • 7+ years of experience in data engineering.
  • Strong hands-on experience with Snowflake, including data modeling and performance tuning.
  • Advanced Python and SQL skills.
  • Experience with AWS and modern data stack tools (e.g., dbt, Airflow, Fivetran).
  • Proven experience building ETL/ELT pipelines from scratch.
  • Fluent in English (spoken and written).

The job is 100% remote; please ensure you have a comfortable office set up at your preferred work location.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering, Information Technology, and Consulting
Industries
  • IT Services and IT Consulting

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