As a Data Engineer, you will require a wide range of strengths and capabilities including:

• Partner with stakeholder 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 batch and micro-batch data integration frameworks to move and transform a variety of data sets. Build ETL pipelines to ingest the data from heterogeneous sources into system
• Develop on the Yum! data platform by building applications using best in breed SaaS tools (Informatica Cloud, Snowflake, Domo, etc.).
• Perform Unit testing process to ensure the delivery meets the business requirements, scalable, debug, tune and optimize code for optimal performance
• Implement and manage production support processes around data lifecycle, data quality, coding utilities, storage, reporting and other data integration points.

Minimum Requirements:

• BE/BTECH - 2.6-7 years of relevant experience in data engineering experience
• Database Concepts and SQL (Advanced) – Snowflake Datawarehouse preferred, ETL (Intermediate) – Informatica IICS preferred, Informatica Power Centre could be Preferred.
• Data Architecture/Modelling (Intermediate) – Star Schema preferred
• Agile Methodology (Intermediate) – Jira preferred
• Knowledge of cloud architectures (Intermediate) – AWS preferred
• Cloud BI certification a plus
• Experience in processing structured and semi structured data