General Mills | Sr. Data Engineer | Minneapolis, MN | United States | BigDataKB.com | 2022/10/28

Job Location: Minneapolis, MN

Job Description:

Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact.
General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the worldโ€™s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, Lร„RABAR, Pillsbury, Yoplait, Annieโ€™s Homegrown, Totinoโ€™s, Epic Provisions and Blue Buffalo.
As a Sr. 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.
KEY RESPONSIBILITIES
  • 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
MINIMUM QUALIFICATIONS
  • Bachelorโ€™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 Hadoop AND some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka (or similar Cloud experience)
  • 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
PREFERRED QUALIFICATIONS
  • Bachelorโ€™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
  • Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
  • 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
ADDITIONAL CONSIDERATIONS
  • The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.
  • Relocation or international remote working arrangements (outside of the US) will not be considered.

Company Overview:

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best โ€” bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whatโ€™s next.




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