Responsibilities:
1. Collaborate with the development team to design, develop, test, and deploy new functionalities in Company’s core product ‘Asset Performance Monitoring’ for Wind Turbines.
2. Participate in the entire development cycle of Functionalities, from requirement analysis to development in Excel and final deployment and Go-Live.
3. Conduct Routine Surveillance of APM Product. Ensure the proper functioning of APM installations at different client locations, proactively identifying and addressing anomalies in data through checklists and SOPs.
Qualifications:
1. Educational Background:
Bachelor's or Master's degree in Mechanical or Electrical Engineering with 2 – 3 Years of Work Experience in Wind Farm.
Surveillance and Anomaly Detection:
Ability to conduct routine surveillance and address anomalies using checklists and standard operating procedures (SOPs).
Communication Skills:
Strong written and verbal communication skills.
Data Analysis and Reporting:
Able to conduct Vibration analysis using Time and Frequency domain.
Capability to generate daily/monthly advisory reports for clients based on the analysis.
Certification and Compliance:
Experience in assisting the team in the certification of software functionalities with international certification bodies.
Familiarity with the certification process and requirements.
Research Abilities:
Strong research skills, especially in topics related to Wind Turbine technology.
Bonus Skills:
1. Proficiency in programming languages relevant to the development of Front-End Web Applications (e.g., html, C#, Java).
2. Experience in working with foreign clients.
Algorithm Asset Performance Monitoring software acquires real time events, alarms, states and parameters from turbines and sub-station Scada systems. Its algorithms sift through this raw data and transform it into a cohesive and meaningful flow of information that is full of fresh insights for the owners of the wind farms. For technical teams, the APM generates calls for specific actions. These are both corrective and preventive in nature. When followed through, these actions reduce production losses