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 AzureRequirements:
- 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 environmentTransform data engineering for automated reporting with your expertise in Databricks and a focus on quality.#J-18808-Ljbffr

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