Lead Data Engineer

Position 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 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.

As a Lead Data Engineer, you will work closely with a multidisciplinary agile team to build, enhance and maintain 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.

Responsibilities:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Take the lead in solving complex data problems to enable business partners to achieve their goals
• Lead project team members to deliver data capabilities
• Mentor all team members and set a strong example
• Partner across the D&T organization, actively seek out learnings from other teams and projects to bring back to current initiatives
• Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
• Key contributor in the evaluation, implementation and deployment of emerging tools and processes in the evolving data landscape
• Develop and deliver communication & education plans on data engineering capabilities, standards, and processes
• Partner with business analysts and architects to develop technical architectures for strategic enterprise projects and initiatives.

Required Skills/Experience:

• 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 Cloud or other large scale data platforms
• Data Engineering experience using Google Cloud Platform or another Cloud environment
• Experience with BigQuery, Python, Spark and familiarity with Kafka
• Excellent communication, listening, and influencing skills
• 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

Preferred Skills/Experience:

• 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
• 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