Data Engineer, International Seller Services
Seattle, Washington, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Come and be part of the International Seller Services (ISS) Data Engineering (DE) Platform team and work on solving cutting edge problems!
We are a team of DEs who support Applied Scientists, Data Scientist and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.
The ISS Data Engineering Team owns the generation of various data engineering pipelines associated to Sellers and key initiatives to support our sales teams in different regions.
ISS is seeking a smart, highly-motivated, and experienced Data Engineer to join the Data Engineering team. In this role, you'll help us create the right data and reporting infrastructure for the org-level reports that will be used by ISS Leadership worldwide.
Key Responsibilities:
- Develop the end-to-end automation of data pipelines, making datasets readily-consumable by machine learning platforms;
- Work with applied scientists to source data for machine learning algorithms;
- Participate in the design, development and evaluation of highly innovative, scalable models and algorithms;
- Manage AWS resources including EC2, Redshift, S3, Glue, EMR etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency;
- Own high-impact alignment and standardization projects across the organization;
- Represent our organization in data engineering initiatives across Amazon.
- Interact with country leaders, BI leaders, and executive management across Europe (EU), Japan (JP), and North America (NA);
- Impact Marketplace (3P) Seller recruitment channels (direct sales, self-service registration, existing Seller growth) across NA, EU, JP, China, India, and other countries
Basic Qualifications
- Bachelor’s Degree in Computer Science, Mathematics, Statistics, Finance or related technical field
- 3+ years experience with data modeling, data warehousing, and building ETL pipelines
- 1+ year experience with Redshift,
- 1+ experience in scripting language for automation (e.g. Python, Perl or Ruby)
- Experience with SQL, Microsoft Excel
Preferred Qualifications
- Understanding of computer science fundamentals such as data structures, object-oriented design and service-oriented architectures and business intelligence tools.
- Experience in projects involving cross-functional teams and successfully completing complex/large scale projects
- Experience leading medium to large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
- Familiarity with Linux
- Experience with Hadoop or other map/reduce "big data" systems and services
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Computer Science Data pipelines Data Warehousing Deep Learning EC2 Engineering ETL Excel Finance Hadoop Linux Machine Learning Mathematics Perl Pipelines Python Redshift Research Ruby SQL Statistics
Perks/benefits: Career development
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