Data Engineer, Supply Chain Simulation, SCOT Simulation

Looking for an exciting challenge to accelerate your career Are you customer obsessed Imagine being part of a team that predicts inventory flows for Amazons worldwide supply chain. Amazons worldwide inventory planning involves many algorithms to buy inventory in the right quantities at the right frequencies from the right vendors and assigning to the best warehouse to fulfill customer demand forecast. Our massive simulation system lives at the heart of these algorithms keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future predicting inventory flows across the network for both labor planning and AB test experimentation end-to-end from vendors to customers.

The Amazon Supply Chain Optimization Technology (SCOT) organization is looking for a highly motivated Data Engineer (DE). SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars worth of inventory in one of the worlds most advanced supply chains and at massive scale.

As an DE in SCOT Simulation team you will work closely with some of the brightest software engineers scientists economists and product managers to solve highly complex supply chain challenges. You will work on one of the largest distributed systems in the world in order to support new use cases and design its future state you will think of how we can leverage AWS technologies (specifically technologies such as ECS and EMR) that will allow our next generation system to run elastically at a much larger scale and on demand as well as define new frameworks (data APIs plug and play technology) that will allow supply chain teams to integrate their components in simulation in a low touch manner. You will be responsible for building and maintaining data pipelines warehouses and lakes across our Simulation tool set successfully delivering reliable data infrastructure and meeting program goals. You will design implement and optimize ETL processes data models and analytical solutions for Amazon Supply Chain using SQL PySpark Amazon Big Data Technologies (BDT) AWS services (such as Redshift EMR Glue) and data visualization tools.

Finally here are some more reasons you might find this opportunity exciting:

- Being part of a team that is at the heart of the most sophisticated supply chain and decision making system on the planet

- Working at the intersection of science and engineering to simulate and predict future supply chain flows in order to ultimately impact Amazon user experience (by helping supply chain teams run experiments that allow for speed and same day availability for example) saving hundreds of millions of dollars along the way

- Closely collaborating with some of the brightest software engineers scientists and economists in order to solve complex supply chain problems and implement systems to tackle these challenges at scale (billions of simulation events per day) and an evolving need for faster and more scalable applications

- Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!)

- Being part of a team with a high emphasis on a positive work culture of collaboration

- Being part of a fast growing team with many growth opportunities

Key job responsibilities
- Work closely with data scientists business intelligence engineers product managers and software engineers to create robust data architectures and pipelines
- Take ownership of the design creation and maintenance of business critical metrics tables and jobs
- Optimize data and queries to improve simulation performance runtime and cost structure
- Develop and manage scalable automated and fault-tolerant data solutions using technologies such as Cradle EMR Redshift Glue Andes and S3
- Lead/orchestrate org-wide data migration and data privacy campaigns


- 3 years of data engineering experience
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience with Redshift Oracle NoSQL etc.

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.