Data Engineer, FAE

World's largest e-commerce company building technical solutions for multi-billion worldwide operational cost analytics
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer, FAE

Amazon's Operations Finance Technology team is seeking a Data Engineer to join their dynamic team focused on building technical solutions for multi-billion worldwide operational cost analytics. This role offers an exceptional opportunity to work with one of the world's largest data warehouse environments, handling massive datasets that impact various aspects of Amazon's operations.

The position involves working on critical cost analytics including inbound costs (Receiving/PO), variable costs, fixed costs, outbound (Customer Shipments/Transportation), and Customer Service. You'll be at the forefront of implementing analytical solutions using cutting-edge technologies like Redshift, Hadoop/Hive/Pig, while collaborating closely with business teams on cost-saving initiatives.

As a Data Engineer, you'll be responsible for designing and implementing analytical environments, working with both third-party and in-house reporting tools. Your role will involve metadata modeling, creating reports and dashboards, and writing scalable queries that handle billions of rows of data. The position requires strong technical expertise in SQL and data engineering, with preferred experience in AWS technologies.

This is an excellent opportunity for someone who enjoys solving complex problems and wants to make a significant impact on Amazon's operational efficiency. The role offers competitive compensation ranging from $118,900 to $205,600 per year, depending on location and experience, along with comprehensive benefits including medical coverage and various financial benefits.

Last updated 37 minutes ago

Responsibilities For Data Engineer, FAE

  • Design and implement analytical environment using third-party and in-house reporting tools
  • Model metadata and build reports and dashboards
  • Write scalable queries and tune performance on queries running over billion of rows of data
  • Work with business teams in analysis on cost savings initiatives
  • Work with technologies like Redshift, Hadoop/Hive/Pig

Requirements For Data Engineer, FAE

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

Benefits For Data Engineer, FAE

Medical Insurance
  • Medical Insurance
  • Financial Benefits

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