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HSO India | Lead D365 Integration Engineer (AIS) | 10+ Years

HSO Group B.V.India🇮🇳India

Why this role stands out

Take your career to the next level by architecting cutting-edge, enterprise-grade solutions within the expansive Microsoft ecosystem at HSO Group. This hybrid role is perfect for a seasoned engineer who thrives on solving complex integration challenges and wants to shape the future of AI-driven business applications. Apply today to join a collaborative global team where your technical expertise will drive significant innovation and professional growth.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationIndia
DatabricksGenerative AIAzurePower BICI/CDAzure DevOps

Job description

D365 Integration Engineer

  • Design and implement enterprise integration architectures that connect business applications, analytics platforms, and intelligent services across the Microsoft ecosystem
  • Build scalable integrations using Azure Integration Services including Azure API Management (APIM), Logic Apps, Azure Functions, Service Bus, Event Grid, and Event Hubs
  • Develop API-based, event-driven, and message-based architectures connecting ERP, CRM, Dataverse, analytics platforms, and external enterprise systems
  • Enable downstream analytics and AI workloads by delivering ingestion pipelines into Microsoft Fabric, Synapse, Azure Databricks, and Power BI semantic environments
  • Support integration patterns required for Copilot, Azure OpenAI, semantic search, and intelligent application scenarios
  • Integrate Microsoft Business Applications including Dynamics 365 and Dataverse with Azure data platforms and enterprise systems
  • Develop secure APIs and integration workflows leveraging OAuth2, Managed Identities, and APIM policies
  • Implement Infrastructure as Code (IaC) using Bicep and YAML to support consistent and repeatable deployments
  • Build and maintain CI/CD pipelines using Azure DevOps to support automated delivery across development, test, and production environments
  • Design resilient integrations with monitoring, alerting, retry logic, and observability frameworks to ensure production reliability

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