Amazons global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations Amazon warehouses and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages each with different attributes and delivery requirements what results is a highly dense graph of nodes.
We have built a highly respected software engineering team which is focused on solving complex problems in worldwide transportation using workflows optimization algorithms and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.
You will be working with senior engineers and principals to solve problems of scale improve existing services & build new ones and work on deep and complex algorithms to improve the experience of our customers globally while optimizing network operations.
- 5 years of data engineering experience - Experience with data modeling warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS - Experience mentoring team members on best practices
- Experience operating large data warehouses - Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.