Jobs → Data & Analytics → DataOps / Cloud Data Engineer

About the Role We are looking for a highly experienced Senior DataOps / Cloud Data Engineer with strong hands-on expertise in building scalable data platforms, developing complex ETL/ELT pipelines, and migrating enterprise data workloads to Azure and Databricks. Key Responsibilities • Build scalable data platforms and develop complex ETL/ELT pipelines • Migrate enterprise data workloads to Azure and Databricks • Design, automate, optimize, and deliver enterprise-grade cloud data solutions Requirements • Strong expertise in Databricks, Delta Live Tables (DLT), Unity Catalog, and modern data platform architecture • Advanced SQL, PL/SQL, T-SQL, query optimization, and database administration • Hands-on experience with PySpark and big data processing • Proficiency in Azure Data Factory (ADF), copy activities, and custom Databricks pipelines • Experience implementing CI/CD pipelines using Azure DevOps and Git integration • Strong background in relational and dimensional data modeling • Proven experience with data migration and integration, including Oracle to Azure Data Lake, Oracle to Databricks, and Oracle to Microsoft Fabric • Experience with Oracle, MySQL, and SQL Server Benefits • Competitive hourly rate (CAD $80–$90/hour) • Estimated T4 rate of CAD $65–$75/hour