Analytics Engineer: Data Pipelines, ML Ops & Dashboards

Mars Advertising, Inc.; Toronto; On-site; CAD 72,000 - 91,000; Full time

Job summary

A leading global commerce company based in Toronto is seeking a Data Engineer to develop and maintain data pipelines, optimize data infrastructure, and implement ETL processes. The ideal candidate has 3-5 years of experience in data analytics with strong proficiency in SQL, Python, and Power BI. This role offers a comprehensive benefits package, a flexible work environment, and competitive compensation ranging from $72,390 to $90,440 annually.

Benefits

Comprehensive group health plans

Tuition support and assistance

Flexible paid time off

Qualifications

• 3-5 years of industry experience in a data analytics or related role.
• Experience with data warehousing solutions.
• Knowledge of machine learning frameworks like TensorFlow, PyTorch.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Optimize data infrastructure for efficient data processing.
• Collaborate with cross-functional teams to address data needs.

Skills

SQL

Python

R

Data Warehousing

Azure Synapse

Power BI

ETL

Machine Learning

Apache Spark

Data Governance

Education

Bachelor’s/Master’s degree in data analytics or computer science

Tools

Databricks

AWS

Google Cloud

Job description

A leading global commerce company based in Toronto is seeking a Data Engineer to develop and maintain data pipelines, optimize data infrastructure, and implement ETL processes. The ideal candidate has 3-5 years of experience in data analytics with strong proficiency in SQL, Python, and Power BI. This role offers a comprehensive benefits package, a flexible work environment, and competitive compensation ranging from $72,390 to $90,440 annually.