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The primary objective of this role within the Engineering department is to provide global technical support to enhance the operational reliability of wind farm assets. You will analyze engineering and business data to develop predictive maintenance strategies aimed at preventing turbine component failures and optimizing machine uptime.
Job Responsibility:
Track technical incidents across global regions to support predictive maintenance schedules and ensure a closed feedback loop between data insights and field repairs
Utilize engineering scoring methodologies to evaluate the performance and accuracy of predictive monitors
Implement and interpret engineering KPIs to measure the efficiency of alert handling and response times in various regions
Operate predictive monitors by reviewing technical alerts and conducting rigorous quality checks on sensor-driven data
Support engineering data topics, including the management of master data and the identification/reporting of critical data gaps that impact turbine performance
Handle engineering tickets focused on data gathering, detailed analysis, and the interpretation of key business and operational datasets
Requirements:
3 to 6 years of proven experience in data analysis, specifically within a manufacturing, heavy engineering, or energy environment
Bachelor's degree in Engineering (B.E./B.Tech) is mandatory
Strong ability to interpret complex datasets to identify failure patterns in mechanical or electrical systems
Ability to work effectively under a 3rd party payroll structure while supporting global operations