Future Electronics is seeking a Data Engineer with a focus on analytics to optimize data pipelines in a hybrid working environment. Drive machine learning and AI initiatives through effective data management. In this position, you will design and maintain effective ETL/ELT data pipelines while working closely with analysts and AI teams.
Your responsibilities will include transforming and integrating data from various sources and building high-quality datasets that support operational and strategic objectives. You will also ensure data is monitored for quality and performance across systems. Key Responsibilities:
- Maintain ETL/ELT pipelines for enterprise data
- Extract and integrate data from Oracle and SQL Server
- Create AI-ready datasets for machine learning
- Monitor data quality and implement reconciliation processes
- Collaborate with analytics teams for scalable data solutions Requirements:
- Strong expertise in Python, SQL, and PySpark
- Familiarity with data governance frameworks
- Experience with Azure Fabric Lakehouse/Warehouse
- Understanding of data modeling concepts
- Background in preparing datasets for analytics Utilize your skills as a Data Engineer to enhance decision-making capabilities at Future Electronics.
📌 Data Engineer - Analytics Focus at Future Electronics (Kirkland)
🏢 Future Electronics
📍 Kirkland
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