Design, Process and Technology Staff Engineer
Location
Secunderabad | India
Job description
The Solar Performance Engineer will be based in the United States. The Solar Performance Engineer will work with the Nextracker team to analyze data in-field operations of Nextracker systems that will improve the Nextracker product portfolio and support customer success. He or she will work with a diverse and dedicated team of computer scientists and engineers to grow Nextrackers reach world-wide.
We are looking for someone who demonstrates:
- Passionate drive to innovate and create
- Integrity to the core
- Enthusiastic customer focus
- Consistent interactive teamwork
- Desire for continuous improvement and top performance
Here is a glimpse of what you ll do
- Drive TrueCapture field measurement and verification (M&V) activities for customers
- Analyze and compare TrueCapture measured gains to quoted and modeled gains, investigate & resolve differences
- Support ongoing evolution of analysis methods, data cleaning methods, automation, and processes to scale-up the calculation of TrueCapture measured gains.
- Analyze customer performance data to accurately determine actual gains realized in the field
- Actively monitor site performance during field tests to ensure quality data for analysis
- Engage with customers to describe processes, present results, resolve doubts, and manage schedules, processes, and reporting requirements.
- Concurrently manage several projects on various schedules for different customers each with unique challenges relating to data, customer satisfaction management, and operations
- Support active monitoring and analyze solar resource, production, and operations data, enabling customer satisfaction via performance indicators and analysis
- Interpret data, analyze results using statistical techniques; develop and provide ongoing reports
- Build summaries and reports for data analytics on tracker system field performance.
- Diagnose operational issues as appropriate using data analysis in collaboration with Nextracker technical services team
- Create and manage processes to help scale data analysis/collection, dashboards, and reporting
- Clean, filter, and manage operational datasets; identify data quality/integrity improvements and ensure they are properly addressed
- Troubleshoot PV equipment, performance, or operational issues by leveraging data signatures
Here is some of what you ll need (required):
- Bachelor s Degree in Mathematics, Engineering, Computer Science, Information Management, Statistics, or related discipline
- Minimum 2 years of data science, performance engineering or analytics experience, working with large data sets
- Minimum 2 years solar domain experience, preferably relating to the performance, design, operations and maintenance, and modeling of utility-scale solar power plants
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with very strong attention to detail and accuracy
- Familiar with performance engineering tools including PVsyst, PVLIB Python, NREL SAM, and other PV software, models, and tools
- Solar industry specific experience regarding solar power plant operational performance, with understanding of system design, SCADA/DAS control and monitoring systems, remote communications, and common key performance indicators such as performance ratio, availability, production actual to budget, and related metrics
- Foundational understanding of basic quantities and processes in solar performance including solar resource, sun position, irradiance, transposition models, analysis techniques, module technologies, inverter behaviors, and related topics
- Experience working with time series datasets from operating power plants including data cleaning, validation, and understanding of key relationships between various physical quantities represented in the data
- Excellent communication and presentation skills, thoroughness in investigations, and ability to juggle several in-progress projects and related schedules and milestones
- Ability to develop, prioritize, and drive initiatives
Additional qualifications (preferred):
- Master s degree is a plus
- Experience accessing and handling large data sets, APIs, and ML analysis tools in Python
- Knowledge of and experience with reporting packages, such as Power BI
- Knowledge of statistics, and experience using statistical packages for analyzing datasets
- Ability to identify, analyze, and interpret trends or patterns in complex data sets
- Technical expertise regarding data models, data mining and segmentation techniques
Job tags
Salary