Data Engineer, Modeling and Optimization

World's largest e-commerce and cloud computing company with extensive logistics operations
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Logistics · Enterprise SaaS

Description For Data Engineer, Modeling and Optimization

Amazon's Modeling and Optimization team (MOP) is seeking talented data engineers to revolutionize one of the world's largest data-driven logistics systems. This role offers an unprecedented opportunity to impact Amazon's extensive logistics network, which processes billions of packages annually across thousands of infrastructure nodes. As a Data Engineer, you'll be at the forefront of developing modern data infrastructures, working with cloud-based solutions and large-scale datasets. You'll drive innovation in data engineering solutions from experimentation to production, working with AWS technologies and collaborating with both technical and non-technical stakeholders. The role combines technical expertise with leadership opportunities, allowing you to mentor junior colleagues and shape best practices. You'll be part of a dynamic team building solutions from scratch on native AWS, including weather impact systems, simulation systems for inbound processes, and map-based reporting infrastructure. This position offers competitive compensation based on location and experience, along with comprehensive benefits and potential equity compensation. The role provides an excellent opportunity to work on high-impact projects while developing expertise in cloud computing, big data technologies, and distributed systems.

Last updated 12 minutes ago

Responsibilities For Data Engineer, Modeling and Optimization

  • Design, implement, and maintain cloud-based data-infrastructure for large data-sets
  • Migrate existing data pipelines to new solutions
  • Create and manage large datasets through ETL processes
  • Maintain data integrity, availability, and auditability
  • Manage AWS resources
  • Build data infrastructure, metrics, and reports on native AWS
  • Monitor the overall health of Amazon's global supply chain and fulfillment network
  • Collaborate on building next generation data lake for weather data

Requirements For Data Engineer, Modeling and Optimization

Python
  • 1+ years of data engineering experience
  • 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Bachelor's degree in a quantitative/technical field
  • Knowledge of distributed systems for data storage and computing
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with scripting languages (Python, KornShell)

Benefits For Data Engineer, Modeling and Optimization

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation available
  • Sign-on payments available
  • Total compensation package

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