Integration & Data Platform Engineer
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Role details
Tech stack
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Job description
Deploy, configure, and support PostgreSQL, Azure SQL, Redis Cache, Storage Accounts & Blob Storage
Design secure data connectivity and access patterns for applications, integrations, and AI services
Configure Azure Data Factory pipelines, data movement workflows, and orchestration
Support Azure Service Bus, Event Hub, and event-driven integration architectures
Develop/support REST API integrations, secure application-to-application connectivity, and API validation
Configure and validate Azure AI Search, indexing patterns, search endpoints, and application integrations
Support Azure OpenAI integration validation, endpoint connectivity, access controls, and data-flow verification
Enable RAG-supporting services, data ingestion, and AI-enabled application integrations
Perform monitoring, logging, performance validation, troubleshooting, and operational readiness
Create technical documentation, data-flow diagrams, integration dependencies, and troubleshooting runbooks
Required Technical Skills
PostgreSQL Azure SQL Redis Cache Azure Storage Accounts / Blob Storage Azure Data Factory (ADF) Azure Service Bus Azure Event Hub REST APIs & API Integrations Event-Driven Architecture Azure AI Search Azure OpenAI Data Ingestion & RAG Concepts Authentication & Secure Connectivity Private Endpoints Monitoring & Logging Performance Troubleshooting
Requirements
We are looking for an experienced Integration & Data Platform Engineer to design, configure, and support cloud data, messaging, API, and AI integration services for digital platforms.
The ideal candidate will have strong hands-on experience with Azure data services, integration, messaging, APIs, Azure AI Search, and Azure OpenAI, along with excellent troubleshooting and documentation skills., 7 12 years of experience in data platform, integration, application integration, or cloud engineering
4+ years of hands-on Azure data, integration, or messaging services
Experience supporting AI-enabled applications, enterprise integrations, APIs, and cloud-native data platforms
Strong troubleshooting, documentation, communication, and stakeholder coordination skills
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