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Senior Data Developer

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Minneapolis, MN

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Company OverviewnAs one of the worldu2019s leading food companies, General Mills believes that food should make us better. Food brings us joy and nourishes our lives, connecting us to each other and the earth. General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Haagen-Dazs, Nature Valley, Betty Crocker, Pillsbury, Yoplait, Annie's Homegrown, Old El Paso and more. Headquartered in Minneapolis, General Mills had global net sales of US$15.6 billion during fiscal 2017. We seek out the best talent, then give them development resources, support and the chance to lead something big. Choosing a career with General Mills means joining a company where you can make a difference in the lives of millions of people. There is tremendous opportunity here for individuals who want to advance food through innovation and serve the world. EOE/Minorities/Females/Vets/Disabilities nFunctional OverviewnTechnology at General Mills accelerates process transformation and business growth around the globe. To achieve business success, the Global Business Solutions team uses leading edge technology, innovative thinking and agile processes. One of our General Millsu2019 key technology priorities is driving business action through connected data. The General Mills Enterprise Data and Development Services organization is currently in the process of building a big data platform based on Cloudera Hadoop as part of a multi-year strategic Data Lake program, to advance the data-driven decision making capabilities of our enterprise. If you are an agile learner, have strong problem solving skills and are able to function as part of a highly technical, cross functional team, we would like to hear from you.n nMAIN RESPONSIBILITIESnn Act as a key technical leader within General Millsn Design, create, code, and support a variety of Hadoop ETL solutions (potentially including but not limited to: Python, Scala, Kafka, SAP Data Services, or others) n Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystemn Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space.n Partner with business analysts and solutions architects to deliver business initiatives.n Collaboratively troubleshoot technical and performance issues in the big data ecosystemnn nMINIMUM QUALIFICATIONSnn Bacheloru2019s Degree required; Computer Science, MIS, or Engineering preferredn Minimum 3 years of IT experience, 5 preferredn Understanding of Hadoop ecosystem n Database development experience using Oracle or SQL Server n Process mindset with experience creating, documenting and implementing standard processesn Effective verbal and written communication and influencing skills.n Effective analytical and technical skills.n Ability to work in a team environmentn Ability to research, plan, organize, lead, and implement new processes or technologynnPREFERRED QUALIFICATIONSnn Python, Scala or Java development experiencen Big Data Development experience using Hive and/or Sparkn Familiarity with Kafka n Familiarity with the Linux operating systemn Experience with agile techniques or methodsnn nCB2nDCGM

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