DESCRIPTION Join the Customer Segmentation team and help build intelligent systems which understand customers better. We do this through customer segments (customer groups) defined over customer behavioral events and attributes. These segments are used for hundreds of use-cases across Amazon and subsidiaries: automatically applying promotions to customer orders during checkout, blocking irrelevant advertisements, and personalizing the customer experience across Amazon websites, apps, and devices — even the words spoken by Alexa!
Our growing team creates, monitors and maintains dozens of critical data feeds used to power these segmentation.
We need data engineers to help unlock new new use-cases for Amazon businesses and consumers, drive improvements in data quality, invent processes to onboard new datasets faster, protect the privacy of customers, and invent the next generation of world-class segmentation and targeting software.
Key job responsibilities
Data engineers design, build and support data pipelines. The Customer Segmentation team has a strong ownership model where every engineer takes the lead one or more projects at a time. We lead all parts of the project lifecycle:
- brainstorming / conception
- clarifying customer-facing and technical requirements
- designing data schema, data flows, and systems to handle data
- building, testing, and deploying
- providing support and debugging of live systems
In addition, our engineers are dedicated to building the best team possible. Engineers are partnered with consultants for project work and mentors/mentees for career development. Within months, new engineers are giving back, supporting new other members, and building a rewarding place to work.
About the team
Customer Segmentation supports hundreds of Amazon and subsidiary internal teams with their consumer-facing features. We partner with teams across the spectrum including: Website Personalization, Promotions, Payments, Music, Prime Video, Whole Foods, Audible, features for Businesses customers and Underserved Populations. The scale at which we operate provides opportunity for big impact. And the breadth of experiences we support provides exciting visibility into the ever changing world of Amazon.
Our technical strengths focus around (1) large-scale data processing. Our signature service is a critical dependency for some checkout workflows on the Amazon website and we operate dozens of data pipelines, processing >100TB of data daily and (2) operating a scalable, highly available web-service. Our engineers are frequently solving scaling and efficiency challenges, designing distributed-systems, and inventing process improvements and new features.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 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 big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience working on and delivering end to end projects independently
