Designs and maintains data pipelines for solar energy systems, analyzing performance data to optimize efficiency and reliability using Python, Azure, and Tableau.
Our client in the Renewable Energy industry is currently looking for a Solar Systems Data Engineer, in Bryanston, Sandton.
Responsibilities:
Develop and implement data collection strategies.
Analyse and interpret performance data to identify trends, anomalies, and areas for optimization.
Collaborate with the installation and maintenance teams to ensure proper data collection procedures and data integrity.
Contribute to improvement initiatives for system efficiency and reliability
Collaborate with the System and Product Manager to define key performance indicators (KPIs) and develop performance benchmarks for solar energy systems.
Monitor the performance of deployed systems and proactively identify issues, providing recommendations for corrective actions. Conduct root cause analysis to investigate system performance deviations and implement appropriate solutions.
Create and maintain comprehensive reports and dashboards communicating system performance and data insights to relevant stakeholders.
Create and maintain existing software applications.
Resolution of customer inquiries related to plant data.
Collaborate with the engineering team to provide data-driven recommendations for product enhancements and new product development.
Leverage data insights to drive continuous improvement initiatives and identify opportunities for increasing system efficiency and reliability.
Active participation in cross-functional teams for innovation.
Create and maintain reports and dashboards.
Provide Data-driven recommendations for product enhancements and developments.
Requirements:
Bachelor's Degree in Engineering, Computer Science, or a related field.
Minimumof 4 years of experience in data analysis or a similar role.
Experience in the renewable energy industry, particularly solar energy systems, is highly desirable.
Knowledge and Skills:
Advanced analytical skills for interpreting and analysing performance data.
Experience using Python and conducting data science projects is essential.
Expertise in implementing data collection strategies and real-time data monitoring.
In-depth understanding of solar energy systems, including inverters and batteries. Familiarity with key performance indicators (KPIs) and performance benchmarking in the context of solar energy systems.
Proven experience in conductingroot cause analysis and implementing effective solutions.
Proficiency in creating comprehensive reports and dashboards to communicate insights.
Exceptional technical troubleshooting skills for addressing system issues.
Up-to-date knowledge of industrytrends, emerging technologies, and best practices in monitoring and optimising solar energy systems.
Experience with Microsoft Azure and backend software application development.
Working understanding of API’s.
Experience coding in C#.
Experience working in an AGILE methodology and ceremonies.
Experience using Tableau or other similar visualisation software.