Performance Engineer_Solar

Recex.co; Kolkata District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Recex.co in India seeks a Technical Asset Management professional to analyze power plant performance, model PV systems, and drive data-driven insights for portfolio optimization.

You will develop predictive models, use PVsyst/PVLib, and collaborate with engineers, O&M teams, and stakeholders to improve efficiency and reduce costs across renewable projects.

Qualifications

• Master’s in a relevant field with 2–3 years in performance engineering and PV modeling.
• Strong PV system modeling knowledge (PVsyst, PVLib) and SCADA performance assessment.
• Proficient in Python/R, SQL, Excel (advanced, VBA), and BI tools.
• Experience in project management, data mining, and AC/DC power system analysis.
• Strong analytical, problem-solving, communication, and teamwork skills.

Responsibilities

• Collect, clean, and analyze large datasets on power plant performance.
• Develop predictive models to forecast performance and recommend actions.
• Use PV modeling tools for performance analysis.
• Calculate plant/equipment losses and KPIs.
• Support automation of reporting with data science teams.
• Collaborate with cross-functional teams to reduce costs.
• Translate analysis into clear recommendations for stakeholders.

Skills

PV system modeling

Python/R

SQL

Excel (advanced, VBA)

BI tools

Analytical thinking

Communication

Teamwork

Education

Master's degree in a relevant field

Tools

PVsyst

PVLib

SCADA

PowerBI

Tableau

Plotly

Pandas

NumPy

Matplotlib

Job description

About the role

This role, reporting to the Sr. Director of Technical Asset Management, involves analyzing and modeling power plant performance, driving data-driven insights to enhance efficiency, and collaborating with engineers, O&M teams, and stakeholders to support strategic decision-making across a growing portfolio of renewable projects

Primary Responsibilities

• Collect, clean, and analyze large datasets on power plant performance and modeling
• Develop predictive models to forecast performance, troubleshoot PV systems, and recommend corrective actions
• Use PV modeling tools (PVsyst, PVlib Python, NREL SAM, etc.) for performance analysis
• Calculate plant/equipment losses (soiling, tracker, temperature, clipping, inverter efficiency, wiring)
• Compute KPIs (availability, performance ratio, energy performance index) using algorithms
• Support automation of reporting and analysis with data science/software teams
• Collaborate with cross-functional teams to improve operational efficiency and reduce costs
• Translate analysis into clear recommendations for both technical and non-technical stakeholders

Basic Qualifications

1. Master’s in Computer/Data Science, Engineering, Math, or Physics with 2–3 yrs in performance engineering, PV modeling (PVsyst), and data analytics
2. Strong knowledge of PV system modeling (PVsyst, PVLib) and SCADA performance assessment
3. Skilled in Python/R, SQL, Excel (advanced, VBA), and BI tools (PowerBI, Tableau, Plotly, Pandas, NumPy, Matplotlib)
4. Experience in project management, data mining, and AC/DC power system analysis
5. Strong analytical, problem-solving, communication, and teamwork skills

The ideal candidate will have :

• Experience working in the power industry, specifically in performance analysis and modeling in the PV solar industry