Azure Integration Services(AIS) Engineer

Role & responsibilities Azure Integration Services(AIS) Engineer: Key Responsibilities Requirements analysis, Design and User interactions: Engage with users/other teams to gather integration requirements and coordinating with relevant teams to design a complete end to end integrated solution Document and communicate effectively across teams involved with the ecommerce ecosystem Initiate and participate in design/technical workshops, work with other tea(SFCC, Salsify PIM, Umbraco CMS-Tenovos DAM, SAP ERP), designers, project/product managers, and content creators, to design integrations, perform data mapping, arrive at types of integration needed for data flows across ecommerce platform Create Interface definition docs. Customizations and configurations: Support maintenance of AIS configurations and changes Troubleshooting of data transfer failures and ensure guaranteed as well as complete data delivery across eCommerce ecosystem of applications Performance and security: Ensure high performance, availability and implement security measures to protect the data being transferred Maintenance and upgrades: Manage and support technical tasks like upgrades, deployments, and troubleshooting related issues. Working experience in B2B eCommerce and Consumer Goods/CPG ecosystem of products (SAP ERP, Distribution/WMS applications, Salesforce cloud platforms etc.,) Skills and Experience 5 Years experience in AIS Environment Strong experience in C#, .Net and Related Technologies Working experience in supporting Azure Integration Services (APIM, Function Apps, Azure Data Factory, Authentication/Authorization) . Working knowledge of data mapping, exception handling, error messaging, Que and event based integrations, ETL, Azure logic apps, ADF, ESB is must Utilize Azure CLI, Bicep, and ARM templates for infrastructure deployment and management. Proficiency in troubleshooting REST API Experienced in Git and version control systems. Understanding of CI/CD pipelines and cloud platforms (Azure/AWS). Excellent problem-solving and communication skills. Task automation: Experience in automating content delivery/deployment and toil reduction is needed. Knowledge of AI tools for same is a plus. Working experience in Agile Scrum/Kanban Model of SDLC.