Data Engineer | Amazon Fulfillment Technology

Do you like to code? Do you want to design and build systems? Do you feel excited when you see the results of your hard work running in production crunching millions of messages, applying intelligence, and making Amazon Inventory System more efficient?
(more efficient system → saving money → better bottom line → stock price goes up)
If you answer “YES!” to any of those questions, please keep reading!

We are a brand-new team forging the v1 project in the Amazon Inventory space that is going to tap into numerous data sources, apply magic, and solve various mysteries surrounding the way goods travel from manufactures to your doorsteps.

We are just getting started, so If you join now, you will one of have an influence over the technology and architecture. Plus, a chance to design, implement and put in production a completely new system (read: no legacy code!)

Interested? Then have we got the opportunity for you! Let's talk!

Basic Qualifications

· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
Basic Qualifications:
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· 5+ years of experience as a Data Engineer in a company with large, complex data sources.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda for serverless ETL)
· Experience working with Data Migration Tools (AWS DMS, Informatica, Datastage)
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Preferred Qualifications

· Preferred Qualifications
· Master's Degree in Computer Science or related field
· Good understanding of distributed systems transactional processing systems
· Experience with scaling and performance of large systems
· Experience with both relational and key value databases
· Experience with distributed caching technology
· Strong verbal and written communication skills and an ability to work in a team environment.
· High sense of ownership, self-motivation, and desire to delight customers.
· Ability to enchant services to run smoothly


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