
Net Software Engineer
1 week ago
Requirements:
• Proven working experience (5+ years) Software Engineer with integration experiences.
• Skilled in Microsoft Azure Integration services, including Azure Logic Apps, Azure Functions, Azure API Management, Event Grid, Azure Data Factory, Azure Service Bus and
Azure Synapse.
• Skilled in middle-tier technologies such as .NET
• Skilled with RESTful APIs, SOAP, and other web services.
• Experience with data integration tools and techniques (e.g., ETL processes, data mapping).
• Skilled in relational databases (e.g., SQL Server, PostgreSQL).
• Understanding of OAuth, JWT, and other API security protocols.
Preferred Qualifications:
• Experience with data lake technologies like Azure Data Lake, AWS Lake Formation, or
Google BigQuery.
• Experience working with non-relational databases
• Experience with automated testing.
Knowledge and experience applying multiple levels of testing (Unit, Integration, and End to End)
• Experience with monitoring & logging application performance in cloud environments
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and cloud deployments
• Understanding of security best practices in integration solutions.
Job Description
The role involves designing, developing, testing, and maintaining API & Integration solutions using Microsoft Azure Integration Services. The developer will collaborate with cross-functional teams to gather requirements, optimize performance, and ensure scalability and reliability. Key skills include proficiency in Azure Integration services, C#, .NET, RESTful APIs, relational databases, and implementing best practices for code quality and security.
As a Software Engineer - Integration, you will:
• Design, develop, and maintain API & integration solutions using Microsoft Azure Integration services (e.g., Azure Logic Apps, Azure Functions, Azure API Management) to facilitate communication between different systems
• Implement and manage data integration processes, ensuring data accuracy and consistency across systems.
• Optimize API & integration solutions for performance, scalability, and reliability.
• Troubleshoot and resolve integration issues in a timely manner.
• Design and management of relational database schemas, performance, and queries.
• Utilize data lake technologies (e.g., Azure Data Lake, Azure Blob Storage) to store and process large volumes of data.
• Participate in code reviews and contribute to the continuous improvement of development processes.
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