Software Engineer I
1 month ago
Purpose of the Role
At Yum D&T We’re looking for a Data Engineer to add to our dynamic and rapid 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 lead 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 is knowledgeable about and loves working with modern data integration frameworks, big data, and cloud technologies. Candidates must also be proficient with data programming languages (e.g., 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.The candidate will work in our office in Gurgaon, India.
As a Data Engineer, you will:
As a Data Engineer, you will:
- Partner with KFC, Pizza Hut, Taco Bell & Habit Burger to build data pipelines to enable best-in-class restaurant technology solutions.
- Play a key role in our Data Operations team - developing data solutions responsible for driving Yum Growth.
- Develop & maintain high performance & scalable data solutions.
- Design and develop data pipelines – streaming and batch – to move data from point-of-sale, back of house, operational platforms and more to our Global Data Hub
- Contribute to standardizing and developing a framework to extend these pipelines across brands and markets
- 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.
- Developing scalable REST APIs in python.
Minimum Requirement:
Vast background in all things data related (3+ years of Experience)
AWS platform development experience (EKS, S3, API Gateway, Lambda, etc.)
Experience with modern ETL tools such as Informatica, Matillion, or DBT; Informatica CDI is a plus
High level of proficiency with SQL (Snowflake a big plus)
Proficiency with Python for transforming data and automating tasks
Experience with Kafka, Pulsar, or other streaming technologies
Experience orchestrating complex task flows across a variety of technologies
Bachelor’s degree from an accredited institution or relevant experience
Experience with at least one of NoSQL databases MongoDB, Elasticsearch etc.
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