Work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions that will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. 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 and process for analytic data engineering to improve our productivity as a team. Develop and deliver communication and 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
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering or a related field and 5 years of post-baccalaureate, progressively responsible experience in the job offered or 5 years of post-baccalaureate, progressively responsible experience in data engineering or architecture OR