- Strong experience with Unity Catalog in Databricks for managing data assets and access control
- Hands-on experience working with Databricks Feature Store or similar solutions
- Knowledge of building and maintaining scalable ETL pipelines in Databricks
- Familiarity with Azure tools like Azure Cosmos DB and ACR
- Understanding of machine learning workflows and how feature stores fit into the pipeline
- Strong problem-solving skills and a team-oriented mindset
- Proficiency with Java
- Proficiency in Python and Spark for data engineering tasks
- Experience with monitoring tools like Splunk or Datadog to ensure system reliability
- Familiarity with AKS for deploying and managing containers
📌 Azure Data Engineer (Mississauga)
🏢 Experis Canada
📍 Mississauga
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