As a Data Engineer, you will:

Partner with KFC, Pizza Hut, Taco Bell & Habit Burger to identify opportunities to leverage company data to drive business outcomes. Play a key role in our advanced analytics team - developing data-driven solutions, and responsible for driving Yum Growth. Design and develop scalable streaming data integration frameworks to move and transform a variety of data sets. Develop on the Yum! data platform by building applications using a mix of open-source frameworks (Py-Spark, Kubernetes, Airflow, etc.) and best in breed SaaS tools (Informatica Cloud, Snowflake, Domo, etc.). Implement and manage production support processes around data lifecycle, data quality, coding utilities, storage, reporting and other data integration point.

Skills and Qualifications

2+ years of data engineering experience. 2+ years of experience building cloud data solutions (e.g. on Azure, AWS, GCP) and using services such as storage, virtual machines, serverless technologies and parallel processing technologies. Cloud certifications are a plus. Experience building solutions utilizing streaming or event processing (Kafka, Spark Streaming, Pulsar, etc.) is a plus. Proficiency in Python and its supporting libraries for data processing [good to have] Experience processing structured & semi-structured data. Experience building serverless APIs (AWS preferred, but any cloud environment works) Working knowledge of agile development, including DevOps concepts (IAC, CI/CD, etc.) Experience with cloud SDKs and programmatic access services.