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Closed listing

Data Engineer

  • Montreal, QC, Canada

$115,000 to $120,000 CAD / year · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$115,000 to $120,000 CAD / year
Job type
Full-time
Closing date
Experience
5+ years of Data Engineering experience
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Schedule: Hybrid, 3 days onsite per week (Tuesday and Wednesday required, third day flexible)

What you'll be working on:

  • Building and enhancing ETL pipelines for large-scale data processing
  • Supporting a major data platform modernization and migration initiative
  • Developing a centralized data lake and common data layer
  • Working with Snowflake, Snowpipe, Spark, and AWS technologies
  • Designing scalable solutions supporting global, multi-region deployments and compliance requirements
  • Contributing to bronze, silver, and gold data architecture models
  • Helping enable analytics and AI-driven intelligence across multiple business platforms

Required Skills:

  • 5+ years of Data Engineering experience
  • Strong Snowflake experience (highest priority)
  • ETL pipeline development experience
  • AWS cloud experience
  • Experience with Snowpipe and/or Apache Spark
  • Strong SQL skills

Preferred Skills:

  • MySQL
  • SQL Server
  • Experience with AI tools, automation, or AI-assisted development workflows
  • Databricks exposure

This is a great opportunity to join a team modernizing legacy data platforms and building next-generation data capabilities from the ground up. The environment is highly focused on scalability, cloud technologies, and enabling advanced analytics and AI initiatives.

More about this job

Requirements

Requires at least five years of data engineering experience, strong Snowflake and SQL skills, ETL pipeline development experience, and AWS cloud experience. Experience with Snowpipe and/or Apache Spark is required; MySQL, SQL Server, AI tools or automation workflows, and Databricks are preferred.

Skills

  • Data Engineering
  • Snowflake
  • ETL Pipeline Development
  • AWS
  • Snowpipe
  • Apache Spark
  • SQL
  • MySQL
  • SQL Server
  • Databricks
  • Data Lake Architecture
  • Data Platform Modernization
  • Bronze, Silver, And Gold Data Architecture
  • Multi-Region Deployments
  • AI-Assisted Development

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Data Engineering
  • Snowflake
  • ETL
  • AWS
  • Snowpipe
  • Apache Spark
  • SQL
  • MySQL
  • SQL Server
  • Databricks
  • Data Lake
  • Common Data Layer
  • Data Platform Modernization
  • Data Migration
  • Bronze, Silver, And Gold Architecture
  • Scalable Solutions
  • Multi-Region Deployments
  • Compliance
  • Analytics
  • Artificial Intelligence
  • Automation
  • AI-Assisted Development

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