As an Amanotes Data Engineer, you'll leverage hundreds of terabytes of data from 3+ billion users to create real business value through practical data solutions. Responsibilities include designing, building, implementing, and optimizing data/ETL pipelines; creating and maintaining system pipelines and data documentation; implementing Data Warehouse and Data Lake pipelines; engineering data platforms for automation; collaborating with stakeholders and the Data Analytics team to build deep learning models and data products; and working with external tech teams as needed. The role involves creating practical data solutions from massive datasets to drive business decisions and deliver impactful data products.