Azure Databricks Lead Data Engineer (Hybrid)

Cognizant; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Databricks Developer in Toronto to design, build, and optimize scalable data engineering solutions on Azure. The ideal candidate will have over 5 years of experience in data engineering, strong skills in Azure Databricks, and a solid understanding of data modeling and infrastructure management. This role offers a competitive salary and comprehensive benefits, including flexible hybrid work arrangements.

Benefits

Comprehensive medical, dental, and vision coverage

Registered Retirement Savings Plan (RRSP)

Paid time off and wellness days

Life insurance and disability coverage

Employee assistance programs

Professional development support

Flexible hybrid work arrangement

Qualifications

• 5+ years of data engineering experience with Azure platforms.
• Strong hands-on expertise in Azure Databricks and Data Factory.
• Experience implementing Infrastructure-as-Code using Terraform.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Implement CI/CD pipelines using Git and Jenkins.
• Collaborate with cross-functional teams for technical solutions.

Skills

Azure Databricks

Azure Data Factory

Python

PySpark

Data modeling

Terraform

CI/CD pipelines

Data governance

Education

Bachelor’s degree in Computer Science or IT

Master’s degree

Tools

Azure Synapse Analytics

Git

Jenkins

Job description

A leading technology company is seeking a Databricks Developer in Toronto to design, build, and optimize scalable data engineering solutions on Azure. The ideal candidate will have over 5 years of experience in data engineering, strong skills in Azure Databricks, and a solid understanding of data modeling and infrastructure management. This role offers a competitive salary and comprehensive benefits, including flexible hybrid work arrangements.