Elevate your career as a Data Engineer with expertise in Databricks and Azure. This position demands hands-on experience in developing efficient data solutions and transforming raw data into structured formats. We are looking for a Data Engineer who thrives on challenges and utilizes their knowledge of Databricks, Big Data, and Azure technologies.

You'll design and build high-throughput data frameworks, architect ingestion pipelines, and create seamless integrations for business intelligence using Power BI.

Your role will also encompass transforming data assets into a medallion architecture for optimal analysis. Key Responsibilities:

- Design and develop high throughput frameworks and libraries
- Architect data ingestion pipelines with Azure Data Factory




- Transform raw datasets into structured data lakes
- Convert Hive Metastore to Unity Catalog with permissions
- Enable dashboard-ready datasets for Power BI integration Requirements:
- Minimum 5 years of hands-on Databricks experience
- Bachelor’s degree in computer science or IT related area
- Databricks Data Engineering Skilled Certification
- Strong skills in SQL, Python, and Unix
- Proficient in troubleshooting Azure services and DevOps pipelines Utilize your expertise in Databricks and Big Data to drive impactful data engineering projects.

📌 Expert Data Engineer with Databricks Skills (Toronto)
🏢 Rubicon Path
📍 Toronto