Data Engineer — AI-Driven Analytics & BigQuery Pipelines

The Home Depot; Toronto; On-site; CAD 60,000 - 90,000; Full time

Benefits offered by this job

Semi-annual bonuses

Comprehensive paid benefits

15% discount on stock purchases

Job summary

A leading home improvement retailer in Toronto is seeking a Data Engineer to design scalable data pipelines and enhance data solutions. The ideal candidate has a Bachelor's degree in a technical field and 3-5 years of experience in data engineering, particularly in the retail domain. Responsibilities include collaborating across teams to ensure high-quality data management and leveraging tools like Google BigQuery and Python to drive innovations. This is a full-time position offering a competitive pay range of $60,000 to $90,000 annually.

Qualifications

• 3-5 years of experience in data engineering or related field.
• Strong understanding of the retail domain is beneficial.
• Deep proficiency in SQL and Python.

Responsibilities

• Design and build scalable data pipelines for analytics.
• Collaborate with business teams to translate data requirements.
• Automate processes and ensure data quality across projects.

Skills

Data engineering

SQL

Python

Problem solving

Analytical mindset

Education

Bachelor’s degree in Computer Science or related field

Tools

Google BigQuery

Google Cloud Platform

AI platforms

Job description

A leading home improvement retailer in Toronto is seeking a Data Engineer to design scalable data pipelines and enhance data solutions. The ideal candidate has a Bachelor's degree in a technical field and 3-5 years of experience in data engineering, particularly in the retail domain. Responsibilities include collaborating across teams to ensure high-quality data management and leveraging tools like Google BigQuery and Python to drive innovations. This is a full-time position offering a competitive pay range of $60,000 to $90,000 annually.