Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
Amazon Logistics hires an Applied GenAI Engineer, working as a data engineer for its Last Mile team in Japan, which manages the delivery of tens of millions of products a week. The engineer designs, builds and maintains software solutions and data infrastructure for AMZL leadership and business intelligence teams.
The focus is scalable solutions on AWS services for fast-growing logistics operations: working with large datasets, optimizing systems for low latency and high accuracy, and putting quality checks and monitoring in place. Responsibilities include owning the design, development and maintenance of software solutions and datasets, mining data from tables in Redshift and Apache Spark SQL, investigating run errors and data issues in depth, and adopting best practices for software, data pipelines and data sources, from test design to documentation. The engineer works with business, engineering and science teams to turn business needs into impact.
Applicants need three or more years of data engineering, experience with data modeling, warehousing and ETL pipelines, a modern scripting or programming language such as Python, Java, Scala or NodeJS, and a query language such as SQL. AWS data services and big data tools are preferred, as is fluent Japanese.
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