Job Description

We are seeking an experienced candidate to join our team for a solar resource assessment and forecasting project. Our team has extensive expertise in solar resource assessment, real-time monitoring, and solar forecasting, and we have recently completed a large-scale project to advance solar forecasting in the region. The project has been implemented into a fully automated operational system, which completed 1-year trial phase, and we are continuously working to improve it.

The selected candidate will have the opportunity to work closely with highly experienced professionals in the cutting-edge field of fast-paced solar forecasting and resource assessment. The daily work routine will involve developing various algorithms, including but not limited to machine-learning models, satellite image processing models, coding, code optimization, and implementation of real-time forecast post-processing models. Additionally, as part of the project, our client requires on-site support (on-duty basis) for the system, and we are looking for candidates with programming and troubleshooting experience to join our team. The candidate will also play a key role in supporting the future strategic goals and developments for improving solar forecasting software.

. Supporting, developing, maintenance and troubleshooting of solar forecasting code base, MySQL databases, docker containers, GIT, and PBSpro
. Supporting, developing, maintenance and bug fixing of inbound and outbound data streams
. Further develop the solar forecasting model.
. Implementing advanced logging and real-time monitoring tools for the forecasting system
. Maintenance and administration of existing and new physical servers
. Supporting any other IT and server related issues that might arise
. Supporting (or eager to learn) the development of new technologies including but not limited to spatial data analysis, satellite image processing, advanced
machine-learning algorithms for forecasting, post-processing to further improve forecast accuracy.
. Supporting the future of the Digitisation of Energy's strategic goals for solar forecasting in the region.

Requirements

. Bachelor degree in Engineering, Computer Science, IT, Systems Analysis, a Quantitative field, or other related field.
. Intermediate/advanced Python knowledge
. Experience in writing Python scripts
. Experience in debugging and troubleshooting in Python.
. Experienced with the data science Python packages, e.g. Pandas, Numpy, SciKit-Learn, Xarray, Matplotlib
. Intermediate/advanced Redhat/CentOS Linux Experience preferred, RHCSA preferred. RHCE is a plus.
. Experience in writing and troubleshooting OS Level Scripts and OS Level Commands.
. Experienced with MySQL for Database management as well as writing queries.
. Experience with GIT, version control and CI/CD.
. Experience with PBSPro (preferred) or eager to learn.
. Experience with Docker containers and their maintenance.
. Experience with software technical support, troubleshooting and debugging is preferred.
. Experience with basic networking is preferred.
. Eager to learn machine-learning, regression, image processing (experience is preferred).
. Ability to work independently with a strong sense of initiative.
. Highly motivated, self-starter and well organized.

Department : Research Cluster

Employee Referral Eligible: No

Job requisition ID : 20974