We are on the hunt for a skilled Data Engineer to bring expertise in Databricks and Big Data technology to our projects. This role emphasizes developing scalable solutions and data transformation through innovative engineering. As a Data Engineer specializing in Azure and Databricks, you will play a pivotal role in architecting and implementing data ingestion pipelines.

Your responsibilities will include designing custom frameworks, transforming data into structured lakes, and ensuring business intelligence through Power BI. You must demonstrate strong problem-solving skills and be able to thrive in an agile delivery setting. Key Responsibilities:

- Develop and architect configurable frameworks and libraries




- Implement scalable data pipelines using Azure Data Factory
- Transform raw datasets into structured data lakes
- Convert and manage the Hive Metastore
- Design secure Delta tables with necessary access controls Requirements:
- Over 5 years of experience with Databricks
- Bachelor’s degree in a computer or IT field
- Databricks Data Engineer Certification
- Proficiency in SQL, Unix, and Python
- Experience troubleshooting Azure services and DevOps pipelines Bring your skills in Big Data and Azure to enhance our data engineering capabilities.

📌 Hands-On Data Engineer for Big Data (Toronto)
🏢 Rubicon Path
📍 Toronto