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Data Engineer, Supply Chain Simulation, SCOT Simulation

World's largest e-commerce company with one of the most advanced supply chains globally.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer, Supply Chain Simulation, SCOT Simulation

Join Amazon's Supply Chain Optimization Technology (SCOT) team as a Data Engineer, where you'll be at the forefront of predicting inventory flows for Amazon's worldwide supply chain. This role offers a unique opportunity to impact billions of dollars worth of inventory management in one of the world's most sophisticated supply chains.

As a Data Engineer in the SCOT Simulation team, you'll work with elite software engineers, scientists, economists, and product managers to tackle complex supply chain challenges. You'll be responsible for building and maintaining data pipelines, warehouses, and lakes across our Simulation toolset, working with one of the largest distributed systems globally.

The role involves leveraging AWS technologies, particularly ECS and EMR, to create next-generation systems that run elastically at massive scale. You'll design and implement ETL processes, data models, and analytical solutions using SQL, PySpark, Amazon Big Data Technologies, and various AWS services including Redshift, EMR, and Glue.

Key aspects of the role include:

  • Contributing to a sophisticated supply chain and decision-making system that processes billions of simulation events daily
  • Collaborating with cross-functional teams to simulate and predict future supply chain flows
  • Implementing systems that help supply chain teams run experiments for improving user experience
  • Working with cutting-edge technologies and distributed systems at scale
  • Being part of a team that values creativity and innovative thinking

The position offers competitive compensation ranging from $118,900 to $205,600 per year, depending on location, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This is an excellent opportunity for a data engineering professional looking to make a significant impact in a fast-growing, technically challenging environment.

The ideal candidate will have strong experience in data engineering, distributed systems, and modern programming languages, with the ability to work independently and lead complex data initiatives. If you're passionate about building scalable data solutions and want to be part of transforming global supply chain operations, this role offers the perfect blend of challenge and opportunity.

Last updated 8 minutes ago

Responsibilities For Data Engineer, Supply Chain Simulation, SCOT Simulation

  • 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
  • Lead/orchestrate org-wide data migration and data privacy campaigns

Requirements For Data Engineer, Supply Chain Simulation, SCOT Simulation

Python
  • 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.

Benefits For Data Engineer, Supply Chain Simulation, SCOT Simulation

Medical Insurance
401k
  • Full range of medical benefits
  • Total compensation package including equity and sign-on payments

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