Data Engineer – #01S16

Job Listing No: 9740000

Data Engineer – #01S16

We are looking for a creative and highly motivated Data Engineer to join world-class experts in genetics, genomics, data science, and information technology who are transforming how we feed the world. This is a fantastic opportunity to gain hands on experience while collaborating on research projects with real-world impact which use machine learning, graph analysis, and data visualization. This role will establish state-of-the-art data infrastructure to support advanced analytics for Global Vegetables, spanning Discovery (trait genetics and new phenotypic data), Breeding (graph-based ancestry and ML-guided predictive breeding), Evaluation of varieties based on mobile analysis (building frameworks to combine deep expertise, image recognition, UAVs and sensors), Manufacturing and Supply Chain (global operations research). You will help build data systems which unlock beneficial traits for crops in fields, greenhouses, and urban farms around the world.  You will also work to pioneer and promote state-of-the-art data architecture and practice. This position will collaborate with colleagues across Monsanto Technology, Breeding, Climate Corp, and Enterprise Software Development to support and leverage innovations in advanced data sciences, IT, genomics, operations research, and engineering and automation. Why work with us? In over 60 countries, we have created industry-leading products because we give professionals the freedom to make real decisions. We are recognized as a Science Magazine Top Ten Employer, one of the Top 25 Best Multinational Workplaces, and Computerworld's 100 Best Places to Work in IT. Responsibilities: Design, build, and maintain Vegetable data infrastructureLeverage Crop Sciences data and infrastructure to the advantage of VegetablesAccelerate Vegetable IT tools development, and therefore the Vegetable business, by creating and advocating simplified and sustainable methods for research data storage, discovery, and useEnable quantitative genetics and predictive breeding at scaleFacilitate the rapid growth and use of data from lab, greenhouse, and field, including images, UAV output, IoT telemetryStabilize, streamline, and integrate business critical data currently in ad hoc databasesDrive excellent IT and data citizenship by advocating good practices which support the larger strategy for the digital transformation of AgEstablish data practices to enable data science and prudent securityCultivate digital mastery for the Vegetable Division, tempering fashionistas and accelerating conservativesBring and spread expertiseQualifications:Required Education and Skills/Experience:Minimum of a Bachelor???s DegreeDemonstrated passion and success in modeling and deploying data architectures which enable transformative analysis.Experience with at least 2 of the following data ecosystem elements such as Hbase, MongoDB, Cassandra, and/or CouchDB; graph databases such as Neo4j; Hadoop, MapReduce, and/or Spark; AWS, Google Cloud, and/or AzureMinimum of 3 years of fluency in a JVM language such as Java or Scala, or demonstrated mastery of another languageExcellent data management and software development practiceThe ability and desire to coach and learn from other excellent practitionersExceptional verbal and written communication, interpersonal and problem-solving skills such as required to negotiate scope and resources, manage projects, and synchronize activities with team members, stakeholders, and management Desired Education and Skills/Experience:Experience with Platform-as-a-Service software such as Cloud Foundry or Kubernetes; demonstrated experience building cloud native applicationsKnowledge of data science practices, to better steer our efforts to support them through the infrastructure we createPublic contributions to conference presentations, community forums (e.g. Stack Overflow, GitHub, etc.), and/or open source projects and code samples#LI-POST

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