Jump-start your Data Engineer career in a hybrid role based in Toronto. Focus on leveraging Azure, Scala, and Spark to enhance data workflows. In this 12+ month contract, the Data Engineer position demands in-depth knowledge of Scala, Apache Spark, Python, and Java, along with experience in Azure technologies.

Candidates will use Apache Airflow to manage complex workflows and may have insights into capital markets, particularly regarding FINRA regulations, which is a valuable asset for this role. Key Responsibilities:
Build data pipelines using Apache Spark and Scala
Orchestrate data workflows with Apache Airflow
Utilize Azure Cloud technologies for data management
Collaborate across teams to ensure compliance standards are met
Create solutions that support capital market operations Requirements:
Solid background in Scala and Python programming
Proficient with Azure Cloud Services (AZURE Databricks, AKS)
Experience with shell scripting necessary
Familiarity with Apache Airflow preferred
Understanding of regulatory compliance is a plus Leverage your skills to deliver impactful data engineering solutions in a supportive and inclusive workplace.

📌 Data Engineer Role: Azure & Scala Skills Toronto
🏢 Epitec
📍 Toronto