Azure Data Engineer
Aarorn Technologies IncJob Title: Azure Data Engineer
Location: Toronto, ON (3x onsite a week)
Employment Type: Contract
Pay Rate: CAD$50 - $55/HR INC
Job Description
Design, build, and maintain Azure Data Factory (ADF) pipelines for batch and event-driven data integration. Develop ETL workflows with Azure SQL MI, Azure Functions, and other Azure services. Support event-based data processing, handle structured and semi-structured data, and implement monitoring, error handling, and performance tuning. Collaborate across teams to ensure secure, reliable, and optimized data delivery.
Roles & Responsibilities
Key Skills & Experience
* Strong hands-on ADF development
* ETL and SQL (Azure SQL MI) expertise
* Azure Functions and event-driven architectures
* Data integration patterns and pipeline orchestration
* Apache Kafka (producer/consumer, event streaming)
* Messaging/streaming platforms in Azure or hybrid setups
* Enterprise data platform experience
* Ability to work independently
Detailed JD
* Design, develop, and maintain Azure Data Factory (ADF) pipelines for batch and event-driven data integration.
* Build and optimize ETL workflows integrating Azure SQL MI, Azure Functions, and other Azure services.
* Develop and support event-based data processing solutions.
* Work with structured and semi-structured data sources.
* Implement error handling, logging, monitoring, and performance tuning for data pipelines.
* Collaborate with platform, application, and downstream consumer teams to ensure reliable data delivery.
* Follow best practices for security, performance, and maintainability in Azure data solutions.
Mandatory Skills & Experience
* Strong hands-on experience with Azure Data Factory (ADF) development
* Solid experience in ETL development and SQL (Azure SQL MI)
* Experience with Azure Functions
* Proven experience with event-based or event-driven architectures
* Strong understanding of data integration patterns and pipeline orchestration
* Ability to work independently
* Apache Kafka experience (producer/consumer concepts, event streaming)
* Exposure to messaging or streaming platforms in Azure or hybrid environments
* Prior experience working in enterprise data platforms
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.