Job Title & Details Data Engineer Location: Toronto, ON (Hybrid) Duration: 12+ Months Contract (With Possibility of extension)

Key Skills Required In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting. Hands on with Azure Cloud Services, including ADLS, Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks. Proficient in using Apache Airflow for orchestrating complex data workflows. Good to have understanding of capital market domain requirements, particularly for FINRA compliance.

In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting. Hands on with Azure Cloud Services, including ADLS, Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks.



Proficient in using Apache Airflow for orchestrating complex data workflows. Good to have understanding of capital market domain requirements, particularly for FINRA compliance.

Additional Information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities.

Competitive Compensation And Perks Package Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance.

📌 Data Engineer (Winnipeg)
🏢 Epitec
📍 Winnipeg