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Tier-1 brand and metro location but niche digital twin skillset reduces applicant density.
Role requires deep power systems and substation expertise, limiting cross-industry transferability.
Explicit 5+ years and specialized power systems plus predictive maintenance skills increase filtering.
Support global customers in optimizing asset performance using Digital Twin-based monitoring, diagnostics, and predictive maintenance solutions.
Develop, configure, and maintain Digital Twin models for power system assets such as substations, transformers, and switchgear.
Analyze operational data to provide actionable maintenance planning, risk mitigation, and asset lifecycle optimization recommendations.
Bachelor’s degree in Electrical & Electronics Engineering.
5+ years experience in operation, maintenance, engineering, or asset management of substations, power plants, renewable energy facilities, or industrial electrical systems.
Strong knowledge of high-voltage equipment including transformers, circuit breakers, GIS, AIS, switchgear, protection systems.
Work Experience Required: 5+ years as stated; Notice Period: Not explicitly mentioned in the JD.
Experienced with Digital Twin concepts, condition monitoring, predictive maintenance, and power system diagnostics.
Capable of independently managing technical activities from concept through implementation in a customer-facing environment.
Familiarity with cloud platforms, IoT, edge computing, and industrial digitalization initiatives is an advantage.