3 days old

Data Engineer , Supply Chain Optimization Tech

Bellevue, WA 98004


Job summary
The Inventory Planning and Control (IPC) team owns Amazon€™s global inventory planning systems. We build the systems that decide what, when, where, and how much we should buy to meet Amazon€™s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. IPC fosters new game-changing ideas, continuously improves, resulting in sophisticated, intelligent and self-learning models. IPC is unique in that we€™re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon.

As a Data Engineer with IPC team, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. In close collaboration with the Senior DE on the team, you will design, implement, and maintain next generation BI solutions for large scale and complex data structures to ensure the data is auditable, available and accessible. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.


  • 2+ years of experience analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc.
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Bachelor's degree in a quantitative/technical discipline such as Computer Science, Engineering, Statistics
  • 1+ years of experience as a Data Engineer or in a similar role
  • Knowledge of distributed systems as it pertains to data storage and computing

  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience in SQL
  • A desire to work in a collaborative, intellectually curious environment.
  • Degree in Computer Science, Engineering, Mathematics, or a related field or 1+ years industry experience
  • Demonstrated strength in data modeling, ETL development, and data warehousing.
  • Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc.
  • Query performance tuning skills


  • Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist).
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience building data products incrementally and integrating and managing datasets from multiple sources
  • Experience with Linux/UNIX.
  • Experience with AWS

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.


Posted: 2022-05-13 Expires: 2022-06-12

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Data Engineer , Supply Chain Optimization Tech

Bellevue, WA 98004

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