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WHAT YOU’LL DO Play a leadership role in the Big Data space by designing and executing sustainable data pipelines and leading the team through technical uncertainty as necessary. RESPONSIBILITIES Act as a key Data & Analytics technical leader within General Mills Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem Lead the design and implementation of sustainable tools & processes to support the big data ecosystem Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space. Develop communication & education plans for technical teams on technologies and processes in our big data ecosystem Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Collaboratively troubleshoot technical and performance issues in the big data ecosystem WHO YOU ARE High School Diploma  Minimum 5 years of IT experience required 1 year of hands-on experience with the technologies in the Hadoop ecosystem Experience working directly with business clients to design a solution that meets business requirements; ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations. Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Database development experience using Oracle, SQL Server, SAP BW or SAP HANA Big Data Development experience using Hive and/or Spark Effective verbal and written communication and influencing skills. Effective analytical and technical skills. Ability to work in a team environment Ability to research, plan, organize, lead, and implement new processes or technology WHAT’S NICE TO HAVE Bachelor’s Degree preferred; Computer Science, MIS, or Engineering 7+ years of IT experience preferred Python, Scala or Java development experience Familiarity with Kafka  Familiarity with the Linux operating system Experience with agile techniques or method