Data Engineer – #01MQG

Job Listing No: 9740000

Data Engineer – #01MQG

We are currently looking for a talented Big Data Engineer.  This position will be located in St. Louis, MO, reporting to the Data Engineering Lead. The Big Data Engineer will help transform complex scientific and commercial datasets into innovative software that drives our focus on continuously improving the experiences of our customers, partners and other key stakeholders. They will develop innovative, breakthrough technologies that create breakthrough products. Key Responsibilities:Be a critical senior member of a full-stack data engineering team focused on creating distributed analysis capabilities around our datasets Think through complex problems and work to solve them by applying cutting edge data engineering practices Collaborate closely with your engineering team colleagues and with data scientists across multiple research teams Take pride in software craftsmanship, diving deep into code and constantly innovating Why you should join us:You will work with other top level talent solving a wide range of complex and unique challenges that have real world impact We value the exploration of all relevant technology stacks to find the best fit for each datasetQualifications:Required Skills/Experience: Minimum of a Bachelor???s Degree in a relevant discipline 2+ years of experience with developing ETL/Data Pipeline solutions  2+ years of experience with Java, Scala and/or Python  2+ years of proven experience with distributed systems (e.g. Mesos, Kubernetes, Spark, Hadoop, distributed databases, grid computing, etc.) Ability to perform complex data analysis with large volumes of data Demonstrated proficiency with SQL Desired Skills/Experience:Experience with stream processing (Kafka, Spark Streaming, Akka, Flink, etc.) Experience designing and implementing a Data Lake solution Experience with data privacy concerns  Ability to build and maintain modern cloud architecture (e.g. AWS, Google Cloud, etc.)  Experience contributing to open source projects  Knowledge of data science practices to better steer our efforts to support Data Scientists through the infrastructure we createAbout Us:Bayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsanto???s leadership in seeds and plant traits with Bayer???s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. We???re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet.While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers #LI-POST

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