Data Engineer: Advanced Analytics & ML Pipelines

Canadian Tire; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading retail company in Canada is looking for a Data Engineer to design and manage ETL data pipelines. The successful candidate will have experience deploying machine learning models and collaborating with data scientists. A Master’s degree in a technical field and proficiency in Azure tools are required. This role offers competitive pay and the opportunity for career growth. Join us for a chance to make a difference in the data landscape.

Benefits

Competitive pay

Career growth opportunities

Product discounts

Mental health benefits

Qualifications

• 2+ years of experience with Azure-related data technologies.
• Proven experience in deploying AI models in production.
• Hands-on knowledge of Azure infrastructure and data management.

Responsibilities

• Design, develop, and manage ETL data pipelines.
• Deploy and scale machine learning models in production.
• Collaborate with data scientists for clean data modeling.

Skills

Azure Databricks

Python

Machine Learning

Data Engineering

ETL Processes

Kubernetes

Docker

Education

Master’s degree in computer science or software engineering

Tools

Azure Data Factory

MLflow

Python

R

Job description

A leading retail company in Canada is looking for a Data Engineer to design and manage ETL data pipelines. The successful candidate will have experience deploying machine learning models and collaborating with data scientists. A Master’s degree in a technical field and proficiency in Azure tools are required. This role offers competitive pay and the opportunity for career growth. Join us for a chance to make a difference in the data landscape.