Data Engineer (Full-Time Permanent)

Job Overview

Job Description

Job Title: Data Engineer Databricks, SQL, Python & ETL

Location: Toronto, ON M5V 1Y6, Canada
Work Model: Hybrid 2 days onsite/week
Duration: Full-Time Permanent
Salary: $Market/CAD per annum + Benefits

Eligibility: Open to Canadian Citizens, Permanent Residents, and valid Work Permit holders

Job Overview:
Data Engineer with 7+ years of experience in data engineering, ETL/ELT, data integration, migration, and cloud data platforms. The ideal candidate will have strong hands-on expertise in Databricks, SQL, Python/PySpark, Apache Spark, Delta Lake, data pipelines, and data modeling.

Required Skills
• 7+ years of professional Data Engineering experience.
• Strong Databricks experience.
• Advanced SQL and large-volume data processing.
• Strong Python / PySpark programming.
• Extensive ETL/ELT & Data Pipeline development.
• Apache Spark & Delta Lake.
• Data modeling, data warehousing, and database concepts.
• Data migration and integration experience.
• Cloud experience with Azure, AWS, or GCP.
• Databricks Workflows, Jobs, Unity Catalog, and performance optimization.
• Azure Data Factory, Airflow, or similar orchestration tools are preferred.
• Git, CI/CD, and DevOps experience is an asset.
• Strong communication and consulting skills.

Preferred:
• Enterprise-scale data engineering projects.
• Financial Services, Banking, Insurance, or Consulting experience.
• Legacy-to-cloud data migration experience.
• Agile/Scrum experience.