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Bioinformatics R&D Data Engineer (m/f/d)
Einbeck
Aktualität: 10.04.2021

Anzeigeninhalt:

10.04.2021, KWS SAAT SE & Co. KGaA
Einbeck
Bioinformatics R&D Data Engineer (m/f/d)
Within a diverse team of experts, you will establish and further develop a platform for the integration of sensor-based phenotypic, physiological, and environmental data. You will mastermind data pipelines combining data originating from different data domains in molecular research and breeding to bring Data science and knowledge discovery to a new level at KWS. You will collect requirements and implement a concept for an integrated data architecture for sensor-based data. You are responsible for the provision and reliability of ETL-pipelines to support automated analysis-workflows. You will later work closely with professional software developers to oversee the transition of the integration and knowledge discovery platform into a user-friendly productive system.
Do you have practical experience in data engineering and have a strong interest to be part of this evolving discipline? Do you enjoy working with data and have a broad knowledge of ETL methodologies and practices? In that case, don't miss the opportunity to become an important player in our growing KWS Research & Development unit to shape the future of knowledge discovery at the interface of molecular research and breeding. University degree in Data Engineering, Bioinformatics with strong background in programming and data integration practices or comparable qualification Ability and enthusiasm to work with complex data as well as a high level of commitment and independent, pro-active, goal-oriented work Experience in working with different database architectures (SQL/RDBMs, NoSQL like Triple-Store, Neo4J, data lake systems etc.) and ability to choose the right technology for a given task Combination of strong programming skills (like Python, web-based technologies like Ruby on Rails, ...) Confident use of GIT and Linux; experience with Continuous Integration/Continuous Delivery platforms is a plus, first experience with cloud-technologies is an advantage Strong interest to survey, quickly understand and evaluate new libraries, frameworks, and tools in the evolving area of data engineering Basic knowledge of plant biology/breeding as well as interest or knowledge of statistical methods and principles is a plus Very good English skills, both written and spoken; German skills are an advantage

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