3.0 - 8.0 years

15 - 22 Lacs

Gurugram

Remote

The details of the position are: Position Details: Job Title : Data Engineer Client : Yum brands Job ID : 1666-1 Location : (Remote) Project Duration : 06 months Contract Job Description: We are seeking a skilled Data Engineer, 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 projectswith 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. Key Responsibilities 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. • 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. Skills and Qualifications: • Vast background in all things data-related • 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

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