Randstad Engineering Technician Remote Sensing in Saint Louis, Missouri
Engineering Technician Remote Sensing
location:Saint Louis, MO
salary:$22 per hour
date posted:Thursday, June 28, 2018
industry:Agriculture, Forestry, Fishing, and Hunting
Engineering Technician Remote Sensing
Our client is one of the largest companies in the world dedicated to the development, growth and marketing of Agriculture seeds. They strive to develop hybrids that improve nutrition, boost crop yields, limit spoilage, optimize water & climate variables and reduce the need for chemicals and other inputs. They are committed to consistently introducing innovative products to their customers. It's amazing to consider that improving human health, promoting environmental stewardship and fostering greater economic growth for the agricultural community can all start with something as small as a seed.
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Looking for an Engineering Technician (Remote Sensing) who will support the validation of data quality and perform processing and analysis of aerial imagery of crop fields acquired by Manned and Unmanned Aerial Vehicles. This role will support the development and scale-out of enterprise level automated aerial imagery processing pipeline.
--Execute field data ingest pipeline to load field data into internal database systems
--Process imagery and meta data to produce geo-referenced and calibrated layers
--Validate data quality of image stitching, radiometric calibration and statistical models application
--Resolve data quality issues in collaboration with stakeholders; track quality metrics
--Perform analysis of aerial imagery (UAV & MAV) using statistical analysis software, image analysis software, or Geographic Information Systems (GIS) applications.
--Collaborate with other team members on automated image processing and writing code
--Support researchers with accessing the data for research projects
Working hours: 8:00 AM - 5:00 PM
Role is open because we are scaling out imagery work in 2018 and these positions are needed to support the new UAV analytics pipeline.
Main requirements are to be familiar with a major programming language, remote sensing software (i.e. QGIS) and working in AWS environment (Linux). Attention to detail for imagery inspection is also important.
Daily Duties: Mostly running code, using APIs, transferring data and doing manual QC/QA on images that are flagged by the system
Will work with the P&E teams: Loc360, Science @ Scale and my team
We will need these two roles at least for one year or until/if these processes can be automated
What you bring to the table:
--B.S. in a quantitative discipline such as Computer Science, Remote Sensing, Statistics, Environmental Science, EE, Physics or a closely related field.
--1+ years of relevant work experience
--Experience in the following fields:
--Modern computer programming language (Python, Java, C++)
--Cloud computing environments such as AWS, S3, EC2
--Using APIs to access cloud based services
--Excitement to learn new topics, develop new skills and use new tools.
--Determination to identify and implement opportunities to establish and improve standard workflows
--Optional desirable experience:
--Familiarity with UAV imaging workflows and data processing
--GIS software and libraries such as ENVI, QGIS, ArcGIS, GeoServer and GDAL
--Implementing algorithms on big data in distributed environments such as GeoPySpark
--Our team is composed of some of the most brilliant interdisciplinary minds in the industry. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible product and experience for our
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