Overview

Min Rate : 1750 Max Rate : 3000

Responsibilities

• Power Platform Engineer (Low-Code Automation & Document Intelligence)Location Hyd/blrYears of Experience 5 to 10 years in software development, application engineering, or process automation.Power Platform
• Build Focus Minimum 3+ years of hands-on experience designing complex Power
• Automate Cloud Flows, Power
• Automate Desktop (RPA) tasks, and custom Canvas/Model-Driven Power Apps.Job Description SummaryRole Objective
• Implement and configure Azure Document Intelligence (Read) as a high-fidelity OCR fallback engine, mapping text arrays cleanly into the ingestion pipeline.
• Develop automated ingestion workflows using Power
• Automate Cloud Flows across email, SharePoint, and SFTP endpoints.
• Build the Model-Driven Power App human-in-the-loop (HITL) exception review interface, rendering side-by-side data comparisons and original document views.Configure Power
• Automate Desktop (RPA) tasks to handle secure write-backs to core transactional systems.
• Design and deploy central performance dashboard metrics in Power BI.Technical Requirements & Key Skills Power Platform Native Deep experience with Dataverse, Power
• Automate (Cloud & Desktop), Canvas/Model-Driven Apps, and the Power Apps Component Framework (PCF).No-Code/Low-Code AI Expert-level mastery of AI Builder (Document Processing, Custom Classifiers) and direct integration with Azure Document Intelligence.Relational Data Engineering Strong skills configuring relationships, security structures, and business rules within Microsoft Dataverse. .

Qualifications

• Contract role - (3-6 Months ) Power Platform Engineer (Low-Code Automation & Document Intelligence)Location Hyd/blrYears of Experience 5 to 10 years in software development, application engineering, or process automation.Power Platform
• Build Focus Minimum 3+ years of hands-on experience designing complex Power
• Automate Cloud Flows, Power
• Automate Desktop (RPA) tasks, and custom Canvas/Model-Driven Power Apps.Job Description SummaryRole Objective
• Implement and configure Azure Document Intelligence (Read) as a high-fidelity OCR fallback engine, mapping text arrays cleanly into the ingestion pipeline.
• Develop automated ingestion workflows using Power
• Automate Cloud Flows across email, SharePoint, and SFTP endpoints.
• Build the Model-Driven Power App human-in-the-loop (HITL) exception review interface, rendering side-by-side data comparisons and original document views.Configure Power
• Automate Desktop (RPA) tasks to handle secure write-backs to core transactional systems.
• Design and deploy central performance dashboard metrics in Power BI.Technical Requirements & Key Skills Power Platform Native Deep experience with Dataverse, Power
• Automate (Cloud & Desktop), Canvas/Model-Driven Apps, and the Power Apps Component Framework (PCF).No-Code/Low-Code AI Expert-level mastery of AI Builder (Document Processing, Custom Classifiers) and direct integration with Azure Document Intelligence.Relational Data Engineering Strong skills configuring relationships, security structures, and business rules within Microsoft Dataverse. .