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 team-oriented 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.
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📌 Hybrid Data Engineering Role at Future Electronics (Quebec City)
🏢 Future Electronics
📍 Quebec City