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 collaborative workplace.

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. #J-18808-Ljbffr

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