systems are varied. You will bring good knowledge & experience of services and technologies that include APIs, using a mixture of Java, PostgreSQL databases (including PostGIS spatial extensions) and Azure Cloud Services. An understanding of cloud technology, experience around deployment, data updates, scaling and monitoring services is desired. If you have more »
despite unforeseen complexity. Knowledge of geospatial data formats (e.g., GeoJSON, Shape files), libraries (e.g., Geopandas, GDAL, Fiona, Shapely) and spatial database query syntax (e.g., PostGIS) Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV) The ability to work effectively in a team more »
with database programming languages such as SQL, R or Python. Building, managing and analysing large and complex reference datasets in relational database environments (e.g. PostGIS/PostgreSQL). Developing innovative algorithms and models for location/geospatial & address data to solve business problems (i.e. address cleansing of customer data to … diversity and are committed to creating an inclusive environment for all employees. KEYWORDS Data Engineer, Spatial Analysis, ETL, GIS, FME, ESRI ArcGIS, QGIS, PostgreSQL, PostGIS, SQL, R, Python, Databases, Datasets, Schema Mapping, Algorithms, Data Models, Geospatial Data, Address Data. Please note that due to a high level of applications, we more »
