Kindle delivers exceptional reading experiences because of its excellence in data driven Machine Learning capabilities built by experienced Data Engineers like YOU! We operate from a tera-to-petabyte scale and to help make sense of it all, the Kindle Insights ML Data Engineering team enables repeatable, easy, in depth analysis of Kindle customer behaviors.
We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Kindle to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.
If you find big data irresistible, then this role is for you. We collect billions of events a day, manage tera-to-petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Python, R and Java services.
What do I need?
You are a talented, enthusiastic, and detail-oriented experienced Data Engineer who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You will also help hire, mentor, and develop peers in the the Kindle Insights ML Data Engineering team including Data Scientists, Data Engineers, and Software Engineers. You'll help build Amazon Kindle's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Kindle data ML feature set.
This role requires you to live at the cross section of data and engineering. You have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Kindle Unlimited and Prime Reading services, and our top content provider in eBooks, providing high quality, high availability data to our internal customers is critical to our customer experiences.
Kindle Insights ML Data Engineering team develops data specifically for key business domains across the entire Kindle eco-system and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. In 2019 your team will build a new information model and data pipelines to a data lake storage and EMR/Spark processing layer. You'll be a leader who will partner with Product, Marketing, BI, and ML teams to build new behavioral events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop our offline analytics capabilities in Tableau and build out our real time dashboarding capabilities.
Intro to Kindle Insights ML
Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Kindle Insights ML, where ideas are born and come to life as Kindle Unlimited, Prime Reading, and so much more.
Everyone on our team has a meaningful impact on product features, new directions in reading consumption, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, data engineering, data science, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.
Our team is focused on building a personalized, curated, and seamless reading experience. We want to help our customers discover up-and-coming authors, while also having access to their favorite established authors. We build systems that are distributed on a large scale, spanning our E-readers, apps, web app, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Kindle offerings are available in countries around the world, and our applications support our mission of delivering the best books and services to customers in new and exciting ways that enhance their day-to-day lives.
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Amazon is a company operating a marketplace for consumers, sellers, and content creators.