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Data Engineer, Supply Chain Analytics, North America Capacity Planning

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
$139,100 - $240,500
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer, Supply Chain Analytics, North America Capacity Planning

Amazon's Supply Chain Execution Planning and Analytics team is seeking a skilled Data Engineer to drive high-visibility, long-term Supply Chain and Transportation plans. This role combines data engineering expertise with supply chain knowledge to support Amazon's operational and analytics needs. The position involves close collaboration with various teams including supply chain optimization, fulfillment technology, and transportation.

As a Data Engineer, you'll be responsible for designing and implementing robust data pipelines, ensuring data quality, and optimizing performance for large-scale data operations. The role requires expertise in ETL processes, data modeling, and working with various data sources to support business intelligence and analytics teams.

The position offers competitive compensation ranging from $139,100 to $240,500 based on location and experience, plus comprehensive benefits. You'll work with cutting-edge technologies and have the opportunity to impact Amazon's global supply chain operations.

This is an excellent opportunity for experienced data engineers who want to work on complex supply chain problems at scale, using modern data engineering practices and technologies like Hadoop, Hive, and Spark. You'll be part of a team that directly influences Amazon's operational efficiency and future growth through data-driven solutions.

The role combines technical expertise with business impact, requiring both strong engineering skills and the ability to collaborate with cross-functional teams to deliver solutions that drive real business value. If you're passionate about data engineering and want to work on challenging problems in supply chain and logistics at a global scale, this role offers the perfect opportunity to make a significant impact.

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Responsibilities For Data Engineer, Supply Chain Analytics, North America Capacity Planning

  • Design and implement robust data pipelines for ETL processes
  • Build and maintain data collection systems from various sources
  • Ensure scalability and performance optimization of pipeline architecture
  • Integrate data from multiple systems, databases, and external sources
  • Implement data storage and retrieval solutions
  • Monitor and optimize database performance
  • Create and maintain effective data structures and schemas
  • Work with Business Intelligence Engineers and analysts
  • Support data-driven decision making

Requirements For Data Engineer, Supply Chain Analytics, North America Capacity Planning

Python
Java
  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices

Benefits For Data Engineer, Supply Chain Analytics, North America Capacity Planning

Medical Insurance
401k
  • Medical Insurance
  • 401k

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