Data Engineer I

Seattle, Washington, USA

Applications have closed logo

Posted 1 month ago

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 Business Intelligence & Strategy (BI&S) Team owns BI governance and key initiatives to support our sales teams in different countries.

ISS is seeking a smart, highly-motivated, and experienced Data Engineer to join the Business Intelligence & Strategy (BI&S) 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
· 1+ years of related work experience
· 1+ years experience with data modeling, data warehousing, and building ETL pipelines
· Experience with SQL, Microsoft Excel
· 1+ experience in scripting language for automation (e.g. Python, Perl or Ruby)

Preferred Qualifications

· Experience with business intelligence tools.
· Understanding of computer science fundamentals such as data structures, object-oriented design and service-oriented architectures
· Experience in projects involving cross-functional teams and successfully completing complex/large scale projects
· Experience in using databases in a business environment with large-scale data sets.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· 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
· Be self-driven and show ability to deliver on ambiguous situations and projects
· Deep knowledge of advanced SQL and scripting for automation
· Familiarity with Linux
· Experience with Hadoop or other map/reduce "big data" systems and services
· Exceptional technical writing and communication skills for non-technical audience understanding of research results

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

Job tags: AI AWS Big Data Business Intelligence Data Warehousing Deep Learning Distributed Systems Engineering ETL Finance Hadoop Linux Machine Learning Perl Python Redshift Research Ruby SQL
Job region(s): North America
Job stats:  33  3  0