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