Implementation Engineer

Implement Industrial APM, predictive maintenance, and reliability solutions for customer sites. Review engineering documents such as P&IDs, PFDs, equipment datasheets, manuals, and historian tag lists. Perform asset-to-tag mapping, data validation, and process-context mapping. Understand and validate process equipment including pumps, compressors, turbines, boilers, heat exchangers, motors, and rotating equipment. Work with DCS, SCADA, PLC, and historian data systems. Support reliability engineering activities including RCM, FMEA, condition monitoring, RCA, and predictive maintenance workflows. Coordinate with customer engineering, maintenance, operations, and digital teams during implementation. Prepare implementation documents, validation reports, mapping sheets, and project updates. Travel to customer sites whenever required.

Requirements

3–5 years of

experience

in Industrial APM, reliability engineering, process engineering, industrial analytics, or digital transformation projects.

Experience

in Oil & Gas, Power, Chemicals, Cement, or Process Industries. Good understanding of industrial processes and equipment behaviour. Ability to read and understand P&IDs, PFDs, datasheets, manuals, and tag lists. Exposure to DCS/SCADA/PLC/Historian systems. Knowledge of condition monitoring, predictive maintenance, RCM, FMEA, and RCA concepts. Strong Excel and data validation skills. Good communication and customer coordination skills. Preferred

Skills

Experience

with APM or Predictive Maintenance platforms. Exposure to OSIsoft PI / AVEVA PI, Aspen IP.21, Honeywell PHD, GE Historian, or similar systems. Familiarity with Honeywell, Emerson, Siemens, ABB, Yokogawa, Schneider, or Rockwell DCS systems. Exposure to SAP PM, IBM Maximo, or other CMMS platforms.

Experience

in power plant systems or rotating equipment monitoring is an added advantage. Basic understanding of industrial analytics, dashboards, or ML-based monitoring systems.

Requirements

3–5 years of

experience

in Industrial APM, reliability engineering, process engineering, industrial analytics, or digital transformation projects.

Experience

in Oil & Gas, Power, Chemicals, Cement, or Process Industries. Good understanding of industrial processes and equipment behaviour. Ability to read and understand P&IDs, PFDs, datasheets, manuals, and tag lists. Exposure to DCS/SCADA/PLC/Historian systems. Knowledge of condition monitoring, predictive maintenance, RCM, FMEA, and RCA concepts. Strong Excel and data validation skills. Good communication and customer coordination skills. Preferred

Skills

Experience

with APM or Predictive Maintenance platforms. Exposure to OSIsoft PI / AVEVA PI, Aspen IP.21, Honeywell PHD, GE Historian, or similar systems. Familiarity with Honeywell, Emerson, Siemens, ABB, Yokogawa, Schneider, or Rockwell DCS systems. Exposure to SAP PM, IBM Maximo, or other CMMS platforms.

Experience

in power plant systems or rotating equipment monitoring is an added advantage. Basic understanding of industrial analytics, dashboards, or ML-based monitoring systems.