Home Engineer, Fleet Simulation
 

Keywords :   


Engineer, Fleet Simulation

2020-10-13 11:11:45| Space-careers.com Jobs RSS

ROLE DESCRIPTION SUMMARY The Systems Modelling Simulation team is responsible to build, maintain and deploy a toolbox that allows for datadriven decision making regarding the market, product and architecture fit of future satellite communication infrastructure at SES. This toolbox is instrumental to make the best decisions in how to build future satellite infrastructure at SES. SES serves thousands of aircraft, hundreds of ships and many more stationary sites across the globe. We build traffic models to predict where they will be and how they consume content in the future. Then we evaluate potential network architectures product definitions that serve these markets best to guide our decisions on how to build out our network. You are responsible for developing and deploying the toolbox on the cloud. Part of the job will be to advise on software architecture choices as the toolbox evolves. This position requires a wide skillset from software architecture, frontend backend development to cloud infrastructure setup. Any experience with ETL Extract, Transform, Load of databases and GIS Geographic Information Systems will be advantageous. PRIMARY RESPONSIBILITIES KEY RESULT AREAS Build software applications to make generation evaluation of traffic models easy, fast and repeatable Backend development with focus on Python sometimes quick dirty is the way, other times we need to optimize for computational speed efficiency. Software architecture cloud infrastructure Azure, Kubernetes, Containerization, Databases Everything we do is cloud native Frontend development with experience in Angular andor React User experience mindset Maintain large datasets ETL of the respective traffic models covering the mobility, government and fixed data segments and make them accessible throughout the organization Transform large raw data sets into insights using interactive visualizations COMPETENCIES Teamwork. Everything we do is with the team. IntrovertExtrovert we like you all, but you do need to work well with other people! Curious You dont know everything and do not claim to either, but you want to know more. Its a fascinating world Dare to speak up You have opinions and should not be afraid of articulating them QUALIFICATIONS EXPERIENCE BachelorMasters degree in Engineering Computer Science, Mathematics, Aerospace, Electrical, Telecommunications or any related discipline 15 years of experience with building endtoend software solutions Fullstack software Python, Javascript ReactAngular, database management SQL, ElasticSearch. You can have preferenceexpertise in a piece of the stack, but able willing to work across the stack Cloud infrastructure Azure, Kubernetes, Containerization Everything we do is cloud native Data science practices Statistics, Machine Learning, Cleaning, Extracting, Transforming, Loading data, sometimes a GroupBy function is sufficient, other times we will want the predictive power that machine learning can bring GIS. Most of the functionality of the toolbox is dealing with geospatial temporal operations Data visualization of geotemporal datasets Python visualization libraries, Kibana, Cesium, kepler.gl, Google Earth A picture is worth a thousand words Experience handling large datasets and obtaining insights through visualizations Fluency in English, any other language considered as an asset OTHER KEY REQUIREMENTS COMMENTS Occasional travel required 10 of time SES is an Equal Opportunity and Affirmative Action Employer Apply HERE

Tags: engineer simulation fleet

Category:Transportation and Logistics

Latest from this category

All news

24.04Atlantic Tropical Weather Outlook
Transportation and Logistics »
01.05Will Artificial Intelligence Be the End of Reps? Part 2
01.05La Roche-Posay Enlists Keke Palmer To Talk About Pigmentary Disorders
01.05House prices fall as lenders raise mortgage rates
01.05China tightens grip on social media companies
01.05Chinese women are partnering with strangers to save money
01.05India's economy: The good, bad and ugly in six charts
01.05Tatti Lashes: The school friends who built a beauty empire
01.05Tens of millions secretly use WhatsApp despite bans
More »