WHAT YOU’LL DO  As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.  In this role you will:  Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.  Solve complex data problems to deliver insights that helps our business to achieve their goals  Create data products for analytics and data scientist team members to improve their productivity  Advise, consult, mentor and coach other data and analytic professionals on data standards and practices  Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions  Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team  Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes  Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.  Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics WHO YOU ARE  Bachelor’s Degree  5 years of experience working in data engineering or architecture role Expertise in SQL and data analysis and experience with at least one programming language Experience developing and maintaining data warehouses in big data solutions  Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka Experience working with BI tools such as Tableau, Power BI, Looker, Shiny  Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.  Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Passion for agile software processes, data-driven development, reliability, and experimentation  Experience working on a collaborative agile product team   Excellent communication, listening, and influencing skills  WHAT’S NICE TO HAVE  Bachelor’s degree in Computer Science, MIS, or Engineering  7+ years applicable work experience Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space  Experience in Python or Scala  Big Data development experience using Hive, Impala, Spark and familiarity with Kafka  Familiarity with the Linux operating system   Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

WHAT YOU’LL DO: As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions. The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems. S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals. In this role you will: Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Help define/improve best practices, guidelines & integration with other enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Create & evolve analytic technology roadmap, to align with continuously evolving business needs Monitor technology trends & performs discovery of any new tools/capabilities of interest Benchmark analytic capabilities with Industry analysts and other companies Own strategic technology relationships with technology vendors & external communities/partners Lead education & training for analytics community WHO YOU ARE 10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.) Experience in Agile Development, with specific Solution Architect (or similar) experience preferred Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.) WHAT’S NICE TO HAVE Cloud analytics platform experience preferred