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.

Job Description
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 Advantages 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.

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📌 Data Engineer (Ontario)
🏢 Epitec
📍 Ontario