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EPITEC seeks a Data Engineer in Toronto for a 12+ month contract with hybrid work. You will develop data pipelines using Scala, Spark, PySpark, Python and Java, while leveraging Azure ADLS, AKS, Functions and Databricks to process large datasets. Airflow will orchestrate workflows and domain knowledge of FINRA compliance is a plus.
The role emphasizes collaboration, continuous learning, and a flexible work arrangement with a competitive benefits package.
Data Engineer
Location: Toronto, ON (Hybrid)
Duration: 12+ Months Contract (With Possibility of extension)
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.
An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.