Hiring Azure Data Platform Engineer in Toronto (Hybrid). Design scalable data architectures, develop ETL pipelines, and manage Azure data solutions.
Responsibilities
Design and build scalable data architectures on Azure. Develop and optimize ETL/data pipelines using Azure Data Factory & Databricks. Integrate data from multiple sources ensuring quality and consistency. Work with big data technologies like Apache Spark for large-scale processing. Manage data storage solutions (Azure SQL, Data Lake, Cosmos DB). Implement real-time/event-based data processing solutions. Collaborate with cross-functional teams to deliver end-to-end data solutions. Support L1/L2/L3 operations and ensure system reliability.
Requirements
Strong experience with Azure Data Factory, Azure Databricks, and Spark. Hands-on expertise in ETL, data ingestion, and data integration. Experience with Azure data storage services. Knowledge of streaming/event-driven architectures. Good communication and problem-solving skills.
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