Data Engineering - Data Engineering

Job Description Fully remote Work Hours pm to pm IST Must have at least years of Snowflake and Cloud At Yum!, we’re looking for a data engineer to add to our dynamic and rapidly scaling team. We’re making this investment to help us optimize our digital channels and technology innovations with the end goal of creating competitive advantages for our restaurants around the globe. We’re looking for a solid engineer who brings fresh ideas from past experiences and is eager to tackle new challenges in our company.

We’re in search of a candidate who knows about and loves working with modern data integration frameworks, big data and cloud technologies. Candidates must also be proficient with data programming languages (, Python and SQL). The Yum! data engineer will build a variety of data pipelines and models to support advanced AI/ML analytics projects - with the intent of elevating the customer experience and driving revenue and profit growth in our restaurants globally.

Job Duties 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 (PySpark, 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 points. Skills and Qualifications • + years of data engineering experience. • + years of experience building cloud data solutions ( 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 • 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. • Proficiency in SQL. • Experience with ETL tools such as Informatica, DataFactory, SSIS are a plus. • Bachelor’s degree from an accredited institution is required. “