Azure Data Platform Engineer

We’re Hiring: Azure Data Platform Engineer | Toronto (Hybrid)

📍 Location: Toronto, ON (Hybrid)
🕒 Experience: 6–8 Years
🔧 What You’ll Do:
• 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
💡 What We’re Looking For:
• 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

📩 Interested? Apply now or share your resume at: pooja.thapa@pacerstaffing.com