Azure Data Engineer (Integration Focus)

4 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Summary We are seeking a skilled and motivated Azure Data Engineer with a strong focus on integration services . The ideal candidate will have 3–4 years of experience in building, integrating, and managing cloud-based data pipelines and services using Azure. The role involves designing and implementing scalable data workflows with a strong emphasis on Logic Apps, APIM, Event Hub, and Service Bus . Key Responsibilities Design and implement scalable data integration solutions using Azure Logic Apps, Azure Functions, and Azure API Management (APIM). Build event-driven architectures using Event Hub and Service Bus for real-time data ingestion and messaging. Work on deploying and maintaining Function Apps for orchestrating backend data services. Collaborate with Data Scientists to integrate Azure Machine Learning components. Participate in integrating Azure IoT solutions for data ingestion from edge devices. Optimize, monitor, and troubleshoot Azure data workflows. Ensure security, compliance, and best practices are followed in all integration components. Document architecture, data flow, and configurations for reusability and audit purposes. Must-Have Skills Azure Logic Apps Azure API Management (APIM) Azure Event Hub Azure Service Bus Azure Function Apps Nice-to-Have / Good To Know Azure Machine Learning Azure IoT Hub Azure Data Factory CI/CD using Azure DevOps Qualifications Bachelor's degree in Computer Science, IT, or related field. 3–4 years of hands-on experience with Azure services, particularly integration-focused components. Experience with event-driven and serverless architecture. Familiarity with REST APIs, JSON, and webhooks. Skills: json,azure,azure event hub,integration,azure logic apps,ci/cd using azure devops,azure api management (apim),azure data factory,webhooks,azurelogicapp,azure function apps,azure service bus,azure iot hub,rest apis,azureservice,azure machine learning Show more Show less

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