Geospatial data engineer
neues Angebot (15/05/2020)
stellenbeschreibung
Job Description YOUR TASKS AND RESPONSIBILITIES * Lead and participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in documentation for data processing, storage and delivery solutions * Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders and apply this knowledge to influence business goals * Evaluate new technologies, like GeoTrellis or BigQuery, Domino or Redshift, or new languages/formats, like Go or React/raster-vector tiles, including performing POCs and presenting results to others, with a goal of providing technical recommendations * Help the team establish and improve processes and methodologies, like SCRUM or Kanban, and/or lead piloting new ones * Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., and following team's established processes and methodologies * Lead collaboration with Product Owners, other engineers and data stewards within the team and across data, technical platforms and product teams on developing and aligning roadmaps, delivery dates and integration efforts * Coach and mentor junior and aspiring Data Engineers on the team and across the data and engineering communities * Facilitate various cross team and department efforts, like Scrum of Scrums and Release Planning, focused on large scale roadmap alignments, sharing information, solving broad variety of problems, or improving processes * Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or other repositories used by the team WHO YOU ARE * Bachelor's degree in GIS, Computer Science, Computer Engineering, or equivalent experience * Long-term professional software engineering experience * Several years' experience in engineering data intensive software using streaming, resource-based design principles and OGC formats (WMS/WFS, others) * Several years of experience with Geospatial Information Systems (GIS) such as Google Maps, MapBox, or CartoDB. * Several years of experience with GDAL/QGIS and basic mapping JS libraries such as Open Layers * Experience processing both vector and raster data formats such as shp., GeoJSON, GeoHash, GeoTiff, NetCDF, PNG, JPG and others * Extensive knowledge in different programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python and/or R * Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc. and geospatial libraries such as GDAL * Desired experience with:- Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines * Platform-as-a-Service software such as Cloud Foundry or Kubernetes * Stream processing, e. G. Kafka, Spark Streaming, Akka, etc. * Machine learning or other data science practices * Very good English skills;
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