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Data Engineer, Amazon Logistics

Global technology and e-commerce company that specializes in online retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Logistics · Enterprise SaaS

Job Description

Amazon Logistics (AMZL) is seeking a skilled Data Engineer to join their Last Mile team, focusing on managing the delivery of millions of products weekly to Amazon's customers. This role involves designing, building, and maintaining software solutions and advanced data infrastructure for AMZL leadership and BI teams in Japan. The position requires expertise in handling large datasets, optimizing systems for performance, and implementing quality monitoring systems.

The ideal candidate will work with AWS services to support rapidly expanding logistics operations, collaborating with business, engineering, and science teams to drive effective business impact. This role combines software development and data warehouse skills, requiring someone who is comfortable with ambiguity and has strong attention to detail.

As a Data Engineer at Amazon Logistics, you'll be responsible for developing scalable solutions that help optimize delivery operations, ensure cost-effectiveness, and maintain high customer satisfaction. You'll work with cutting-edge technologies including AWS services, big data technologies, and modern programming languages to build and maintain critical data infrastructure.

The role offers an opportunity to directly impact Amazon's world-class logistics network, working with teams across the globe to improve delivery efficiency and customer experience. You'll be part of a team that's constantly innovating and improving the way millions of packages reach customers, making this an exciting opportunity for someone passionate about data engineering and logistics optimization.

Last updated 5 days ago

Responsibilities For Data Engineer, Amazon Logistics

  • Own the design, development, and maintenance of last mile data sets
  • Manipulate/mine data from database tables (Redshift, Apache Spark SQL)
  • Conduct deep dive investigations into issues related to incorrect and missing data
  • Identify and adopt best practices in developing data pipelines and tables
  • Continually improve ongoing reporting and data processes in AMZL
  • Work with in-house scientists, global supply chain, transportation and logistics teams
  • Identify ways to automate complex processes through AWS

Requirements For Data Engineer, Amazon Logistics

Python
Java
Scala
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Speak, write, and read fluently in Japanese

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