Data Engineer

Jam•Montreal, QC

2d•Hybrid

About The Position

JAM, making the world sound better, one brand at a time! Since 1972, JAM has grown to be one of the largest distributors of consumer electronic goods, pro-audio equipment, and musical instruments. Come join us to stay true to our mission of delivering ONLY the best customer service! This role offers a hybrid schedule with 3 days in the office and 2 days remote.

Requirements

5+ years of experience as Data Engineer with a strong background in Azure and hybrid cloud environments.
Strong proficiency with Azure Data Factory, Microsoft Fabric, Python, PySpark, SQL, GitHub, and Azure DevOps.
Solid understanding of Lakehouse and medallion architectural patterns.
Strong commitment to documentation, code quality, and adherence to engineering standards.
Good knowledge of data warehouse concepts and best practices.
Experience working in a DevOps environment with strong version control skills (Git).

Responsibilities

Design, develop, and maintain efficient, scalable ETL/ELT data pipelines using Azure Data Factory, Microsoft Fabric, and related cloud services.
Contribute to the design, implementation, and continuous evolution of Lakehouse, warehouse, and medallion architectures.
Build and maintain data warehouse solutions that support analytics, reporting, and AI/ML initiatives.
Ensure the accuracy, reliability, performance, and security of processed and stored data.
Participate in monitoring activities, investigate issues, and optimize data pipelines for performance and cost efficiency.
Document technical processes (e.g., in Confluence) and adhere to data governance and compliance best practices.
Work closely with architects, business analysts, data scientists, and project managers to deliver high quality data solutions.