Senior Azure Data Engineer

About the position Drive enterprise data governance initiatives within a dynamic insurance environment focused on Azure cloud technologies, automation, and large-scale data platforms. This hybrid Toronto-based opportunity offers exposure to global projects, AI-related initiatives, and collaborative Agile teams supporting data quality, governance, and operational excellence. Responsibilities • Design and implement scalable data governance frameworks. • Build, operationalize, and automate data pipelines using Azure Data Factory and Azure Databricks. • Develop and maintain metadata management and cataloging solutions using Databricks Unity Catalog and Informatica CDGC. • Engineer and enforce data quality controls and monitoring systems. • Advance and maintain end-to-end data lineage using governance tools. • Implement role-based access control, data masking, and privacy controls. • Conduct performance analysis, optimization, and capacity planning for large-scale data processing workloads. • Drive continuous improvement initiatives related to data governance and data engineering. • Collaborate with cross-functional and global teams to align data initiatives with enterprise strategy. • Operate within Agile and Scrum methodologies using Teams, JIRA, and Mural. • Support production release cycles and operational support activities. • Collaborate with Data Stewards to support the data quality lifecycle, including business requirements gathering, technical rule application, and remediation support. Requirements • Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field. • 6 years of experience as a Data Engineer or in a similar data-focused role. • Strong expertise with Azure cloud services, including Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, and Azure SQL or SQL Server. • Hands-on experience with Databricks Unity Catalog for governance, lineage, and security management. • Experience with Informatica CDGC for metadata management and lineage. • Strong proficiency in SQL and Python. • Familiarity with Java or Scala for distributed data processing. • Solid understanding of data warehousing, relational data modeling, ETL and ELT development, and cloud-native data engineering patterns. • Experience with DevOps and CI/CD pipelines for automating data workflows. • Familiarity with Power BI for dashboard creation, data modeling, and business intelligence support. • Strong understanding of data security practices, including RBAC, encryption, and data masking. • Experience with automation and scripting using Python, PowerShell, or similar tools. Benefits • Salaried: \$75-85 per hour. • Incorporated Business Rate: \$85-95 per hour. • 6-month contract with the potential for permanent employment. • Full-time position: 37.50 hours per week.

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