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Skills Required

developer design support data archive integration architecture calculations model plcs scada iot notifications visual capture security troubleshooting development integrator api scripting .net powershell python customization modbus mqtt sql relational azure aws analytics power tableau learning manufacturing

Work Mode

On-site

Job Type

Full Time

Job Description

AVEVA PI Developer

Experience: 4+ Years required

Mohali, Punjab, On-site

Full-Time, Permanent

About the Role

AVEVA PI Develope


Key Responsibilities

  • Design, develop, and maintain PI System architecture, including

    PI Data Archive

    ,

    PI Asset Framework (AF)

    ,

    PI Vision

    , and PI Interfaces/Connectors.
  • Build and optimize AF templates, event frames, and calculations to model industrial assets and processes.
  • Integrate data from PLCs, SCADA, historians, and IoT devices into PI using the appropriate interfaces/connectors.
  • Develop custom data flows, notifications, and visual dashboards for operations and management.
  • Work with stakeholders to capture requirements and deliver high-availability, scalable solutions.
  • Implement best practices for security, data quality, and performance tuning.
  • Provide on-site support, troubleshooting, and documentation.


Required Qualifications

  • 4+ years

    of professional experience with

    AVEVA/OSIsoft PI

    System development and administration

    .

  • Strong knowledge of:

PI Asset Framework (AF)

    b). AF templates, event frames, and calculations.

    c). PI SDK/AF SDK, PI Web API, or equivalent scripting for automation.

  • Proficiency in C#, .NET, PowerShell, or Python for customization and integrations.
  • Understanding of industrial protocols (OPC, Modbus, MQTT) and real-time data acquisition.
  • Strong SQL skills and experience with relational databases.

    • Preferred Skills (Nice to Have):

    • Experience with cloud integrations (Azure/AWS) and PI to Cloud Gateway.
    • Familiarity with data analytics tools (Power BI, Tableau) or machine-learning pipelines.
    • Knowledge of plant operations, SCADA systems, or manufacturing/energy industry practices.

    .

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