Data Engineer

Insight Global

Montreal (administrative region)

Hybrid

CAD 85,000 - 130,000

Full time

2 days ago
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Job summary

Insight Global is seeking a Data Engineer to build and optimize ETL pipelines for a large-scale data platform. You will drive modernization efforts, develop a centralized data lake, and implement scalable data models across global regions.

You'll work with Snowflake, Snowpipe, Spark, and AWS to enable analytics and AI-powered capabilities, contributing to multi-region deployments and compliance requirements. This role is hybrid with onsite collaboration.

Qualifications

  • 5+ years of Data Engineering experience.
  • Strong Snowflake experience is required and prioritized.
  • Experience with Snowpipe and/or Apache Spark.

Responsibilities

  • Build and enhance ETL pipelines for large-scale data processing.
  • Support data platform modernization and migration initiatives.
  • Develop a centralized data lake and common data layer.
  • Work with Snowflake, Snowpipe, Spark, and AWS technologies.
  • Design scalable solutions for multi-region deployments and compliance.
  • Contribute to bronze, silver and gold data models.
  • Enable analytics and AI-driven insights across business platforms.

Skills

Data Engineering
Snowflake
Spark

Tools

Snowflake
Snowpipe
MySQL
SQL Server
AI tools

Job description

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)
  • Experience with Snowpipe and/or Apache Spark
Preferred Skills:
  • MySQL
  • SQL Server
  • Experience with AI tools, automation, or AI-assisted development workflows

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.

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