Senior Performance Engineer

1 month ago


Kolkata, West Bengal, India RECEX Full time
About the Role

This position will be part of the Asset Management team, responsible for the technical management of a growing portfolio of distributed generation projects across the United States. As a senior performance engineer, you will analyze and interpret data related to power plant performance modeling and prediction, informing strategic decision-making and improving operational efficiency in the industry.

Key Responsibilities
  • Collect and analyze large data sets related to power plant performance modeling and prediction.
  • Develop predictive models and algorithms to forecast power plant performance and troubleshoot underperforming PV systems, identifying potential component failures and modeling issues, and recommending corrective actions to meet guaranteed capacity and energy production targets.
  • Proficiency with photovoltaic performance modeling tools such as PVsyst, PVlib, Python, NREL SAM, and other PV software and models.
  • Proficiency in calculating different types of plant and equipment loss, such as soiling, tracker temperature, clipping, inverter efficiency, DC/AC wiring.
  • Proficiency in calculating KPIs such as availability, performance ratio, and energy performance index using algorithms.
  • Assist data scientists and software teams in the development of programming code to automate internal and external reporting requirements and analysis.
  • Collaborate with cross-functional teams to develop and implement data-driven solutions that improve operational efficiency and reduce costs.
  • Work with stakeholders to identify their requirements for data analysis, model development, and performance optimization, and work with the team to deliver solutions that meet those requirements.
  • Communicate findings and recommendations to technical and non-technical stakeholders in a clear and concise manner.
Basic Qualifications
  • Masters degree in a relevant field such as computer science, data science, math, physics, and/or engineering, such as electrical, with 5 years of combined experience in performance engineering, resource modeling (PVSyst), and data analytics.
  • Strong understanding of photovoltaic system modeling and simulation, preferably with experience using PVLib and PVsyst.
  • Two years of project management experience.
  • Experience with Python, R, and/or other programming skills.
  • Experience in the use of business intelligence tools and other analytical tools, such as PowerBI, Tableau, Plotly, Pandas, NumPy, Matplotlib.
  • Proven track record of SCADA analysis of discrete event time series and plant performance assessment, preferred.
  • Proficiency with database query language, such as SQL.
  • Strong quantitative analytic skills with advanced MS Excel modeling skills, including VBA and/or macros.
  • Experience with operation design and/or analysis of AC and DC electric power systems.
  • Data mining.
  • Strong critical thinking skills and ability to work independently and as part of a team.
  • Excellent communication and interpersonal skills.
The Ideal Candidate
  • Experience working in the power industry, specifically in performance analysis and modeling in the PV solar industry.
  • Experience in conducting performance evaluation of PV plant performance testing by using standards such as ASTM and IEC.
  • Knowledge of SCADA and DAS, such as AlsoEnergy, GPM, Powerfactor, etc.
  • Experience working in a cloud environment, such as AWS, Azure.
  • Knowledge of machine learning algorithms and statistical methods.
  • Database management skills, preferred.
  • Familiarity with CMMS systems, preferred.
  • PMP or other project management certification.


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