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 ScalaOrchestrate data workflows with Apache AirflowUtilize Azure Cloud technologies for data managementCollaborate across teams to ensure compliance standards are metCreate solutions that support capital market operationsRequirements:Strong background in Scala and Python programmingProficient with Azure Cloud Services (AZURE Databricks, AKS)Experience with shell scripting necessaryFamiliarity with Apache Airflow preferredUnderstanding of regulatory compliance is a plusLeverage your skills to deliver impactful data engineering solutions in a supportive and inclusive setting.

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