Who we are looking forThis is a hands-on Data Engineer position. We are looking for candidate with good knowledge on Bigdata technology and strong development experience with Databricks.What you will be responsible forAs Data Engineer you willDesign & Develop custom high throughput and configurable frameworks/librariesArchitect and implement scalable data ingestion pipelines using Azure Data Factory and DatabricksTransform raw datasets into structured data lakes (Medallion architecture: bronze, silver,



gold)Convert Hive Metastore to Unity Catalog and configure associated permissionsDesign and secure Delta tables with appropriate schema and access controlsEnable business intelligence through Power BI integration and dashboard-ready datasetsWhat we valueThese skills will help you succeed in this roleExperience performing data analysis and data explorationExperience working in an agile delivery environmentStrong knowledge on Databricks SQL/Scala - Data engineering pipelineStrong Experience in Unix, Python and complex SQLStrong critical thinking, communication, and problem-solving skillsStrong hands-on experience in troubleshooting DevOps pipelines and Azure servicesAzure cloud,Apache PySparkEducation & Preferred QualificationsBachelors Degree level qualification in a computer or IT related subject5+ years of Databricks hands on experienceData Bricks Data Engineer Skilled Certification

📌 Databricks Data Engineer (Toronto)
🏢 Rubicon Path
📍 Toronto