Azure Integration Service Engineer

GSPANN is hiring an Azure Integration Service Engineer to design and support enterprise and e-commerce integrations. The role focuses on building scalable, secure solutions using Azure Integration Services.

• Gather and analyze integration requirements by working directly with users and cross-functional teams to design end-to-end integrated eCommerce solutions.
• Coordinate with Salesforce Commerce Cloud (SFCC), Salsify PIM, Umbraco CMS, Tenovos DAM, SAP ERP, designers, and product or project managers to design integration flows and perform data mapping.
• Lead and participate in functional and technical design workshops to define integration approaches and data exchange patterns across the eCommerce ecosystem.
• Create and maintain interface definition documents (IDDs) and integration design documentation.
• Troubleshoot data transfer failures and ensure reliable, complete, and guaranteed data delivery across integrated systems.
• Ensure high availability, performance, and security of data transfers across platforms.
• Manage deployments, upgrades, and ongoing support activities for integration components.
• Support B2B e-commerce and consumer goods / CPG ecosystems involving SAP ERP, WMS/Distribution systems, and Salesforce cloud platforms.

• Have hands-on experience supporting AIS-based integrations across complex eCommerce ecosystems.
• Demonstrate strong working knowledge of data mapping, exception handling, error messaging, and queue- or event-driven integration patterns.
• Possess practical experience with ETL processes and integration tools such as Azure Logic Apps, Azure Data Factory, and Enterprise Service Bus.
• Show proficiency in troubleshooting REST API integrations and resolving data flow issues across systems.
• Use Git effectively for source control and follow standard version management practices.
• Understand CI/CD pipelines and apply them within cloud environments such as Azure or AWS.
• Apply strong problem-solving and analytical skills to diagnose integration failures and ensure reliable data delivery.
• Automate deployment and content delivery processes to reduce manual effort; familiarity with AI-based automation tools is an added advantage.
• Work comfortably in Agile delivery models such as Scrum or Kanban and collaborate effectively within cross-functional teams.