Elevate your career as an Intermediate to Senior Data Engineer with a North American utility. This role focuses on building scalable Databricks pipelines to enable automated Power BI reporting. Our client is seeking a Data Engineer to help transform their data analytics capabilities. The position requires developing reliable data models and metrics within a medallion architecture framework. You will collaborate in Agile sprints with data architects, analysts, and business partners, enhancing data quality and pipeline reliability to deliver impactful insights.

Key Responsibilities
• Design and build data pipelines in Databricks
• Develop bronze, silver, and gold layer data architecture
• Translate business needs into reusable data models
• Enable automated reporting in Power BI
• Integrate data from sources like SAP and Azure

Requirements:
• 5 to 10+ years in data engineering
• Proficient with Databricks, PySpark, SQL
• Experience with medallion architecture
• Ability to work within Agile frameworks
• Familiarity with Azure workplace Transform data engineering for automated reporting with your expertise in Databricks and a focus on quality.

📌 Data Engineer with Databricks Expertise (Toronto)
🏢 S.I. Systems
📍 Toronto