Sr. Data Engineer

Job Number: 12298
Location(s): Minneapolis, MN

WHO WE ARE:
We’re passionate about food and driven by data.

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 world’s leading food companies,
General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo.

Job Details

Overview & Responsibilities

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 
Qualifications

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 
  • Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies 
  • 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  

#CB

Overview & Responsibilities

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 

Qualifications

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 
  • Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies 
  • 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  

#CB

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