Power Automation Engineer

5 days ago

Bhubaneswar Hyderabad, India Nisum Full time ₹ 12,00,000 - ₹ 24,00,000 per year

A. What Youll Do

  • Analyze current business processes across departments and identify automation opportunities.
  • Design low-code/no-code solutions and code-based automation using Power Platform (Power Apps, Power Automate).
  • Develop Power Platform customizations in Microsoft Dynamics 365 F&O, particularly in the HR module.
  • Integrate data and workflows across systems such as SharePoint, SQL Server, ERP, and custom APIs.
  • Implement robust, secure, and scalable process automation flows within Microsoft Power Platform.
  • Monitor, maintain, and optimize deployed automations for performance, reliability, and compliance.
  • Document automation designs, flow logic, and dependencies for operational continuity.
  • Collaborate with developers, QA engineers, DevOps, and business teams to ensure seamless process delivery.
  • Apply logging, exception handling, and notification techniques to ensure business continuity.
  • Evaluate and integrate AI-powered services such as Microsoft AI Builder, Azure Cognitive Services, or OpenAI APIs into automated workflows.

B. What You Know

  • Must have at least 8 years of total experience, with a minimum of 5 years in workflow and process automation using Microsoft Power Platform.
  • Strong hands-on experience in Power Automate and Power Apps development.
  • Experience in developing Power Platform customizations in Microsoft Dynamics 365 F&O, especially within the HR module.
  • Solid understanding of REST APIs, Webhooks, JSON, and HTTP methods, including authentication mechanisms such as OAuth2.
  • Experience working with SharePoint, Microsoft SQL Server, and Dataverse for business applications.
  • Ability to understand, document, and optimize business processes for automation.
  • Experience working with Logic Apps, Azure Functions, or custom workflow engines like Elsa Workflows is a plus.
  • Knowledge of DevOps CI/CD pipelines and version control tools such as Git and Azure DevOps.
  • Exposure to AI integration using Microsoft AI Builder, Azure Cognitive Services, or OpenAI APIs.
  • Understanding of RPA tools and Dataverse data modeling concepts.
  • Experience in the Oil & Gas sector is considered an advantage.

C. Education

Bachelors degree in Computer Science, Information Systems, Engineering, or a related field is required.

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