Elevate your career as a Data Engineer at Future Electronics, focusing on designing and optimizing ETL/ELT data pipelines in a hybrid work setup. Collaborate effectively with analytics and AI teams. You will play a crucial role in building reliable and accessible data pipelines that support machine learning and analytical initiatives.

This position involves integrating data from diverse sources, constructing analytics-ready datasets, and ensuring strong data quality through monitoring processes. Your proficiency in SQL and data modeling will be key assets in this cooperative environment. Key Responsibilities:

- Design ETL/ELT pipelines for data processing
- Transform and integrate data from multiple sources
- Build datasets for AI readiness
- Implement data quality and monitoring standards
- Troubleshoot data issues and optimize performance

Requirements:

- Proficiency in Python, SQL, and PySpark
- Strong understanding of data warehousing concepts
- Experience with SQL Server and Oracle
- Familiarity with Azure Fabric Lakehouse/Warehouse
- Prior experience with machine learning dataset preparation

Shape the future of data engineering at Future Electronics with your expertise.

📌 Hybrid Data Engineering Role at Future Electronics (Montreal)
🏢 Future Electronics
📍 Montreal