Senior Data Engineer – Databricks & Microsoft Fabric
Toronto, ONQuerentia Inc.
7+ YOECandidates need a bachelor's degree in a technical field, 7+ years in data engineering including 4+ years hands-on with Azure Databricks, and strong PySpark, Spark SQL, Python, SQL and Delta Lake skills. Experience with Azure Data Lake Storage, Azure Data Factory, Git or Azure DevOps and enterprise cloud data platforms is also required.
Azure Databricks, Delta Lake, Azure Data Factory, Azure Data Lake Storage, Azure DevOps, Microsoft Fabric
Context Engine - GCP Data and graph engineer
Toronto, ONQuerentia Inc.
Candidates need deep graph data modeling and query skills, especially Cypher on Neo4j, plus hands-on Elasticsearch or OpenSearch experience. They also need knowledge graph and event-driven architecture experience and the ability to work across product, architecture and engineering teams.
Neo4j, Elasticsearch, OpenSearch, GCP, Kubernetes, Terraform