A Bachelor’s or Higher Degree is the minimum entry required for the positionThis job posting is for an existing, active vacancy and we are looking to Azure data engineer in Toronto, Ontario immediately who has experience inADF ,ETL ,Apache Kafka, Event-hubs,Azure functions ,Any Event-based technologiesSummaryDesign, 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/semi-structured data, and implement monitoring, error handling, and performance tuning. Collaborate across teams to ensure secure, reliable, and optimized data delivery.Key Skills & ExperienceETL and SQL (Azure SQL MI) expertiseAzure Functions and event-driven architecturesMessaging/streaming platforms in Azure/hybrid setupsAbility to work independentlyDetailed JDDesign, 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 & ExperienceStrong hands-on experience with Azure Data Factory (ADF)



developmentSolid experience in ETL development and SQL (Azure SQL MI)Experience with Azure FunctionsProven experience with event-based / event-driven architecturesStrong understanding of data integration patterns and pipeline orchestrationAbility to work independentlyApache Kafka experience (producer/consumer concepts, event streaming)Exposure to messaging or streaming platforms in Azure or hybrid environmentsPrior experience working in enterprise data platformsThe pay range for this role is $100,000- $125,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Advantages package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. This job is open for contract as well with a pay range of CAD 65-70/hr (max.)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.“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] .”#J-18808-Ljbffr

📌 Azure Data Engineer - C$100,000 - C$125,000 A Year (Toronto)
🏢 Tech Mahindra
📍 Toronto