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Data Engineer, Finance Allocation Engine

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · Finance

Description For Data Engineer, Finance Allocation Engine

Join Amazon's Operations Finance Technology team as a Data Engineer working on solutions for multi-billion worldwide Operational Cost analytics. This role offers an exciting opportunity to work with one of the world's largest and most complex data warehouse environments, handling data for inbound costs, variable costs, fixed costs, outbound operations, and customer service.

You'll be at the forefront of technical innovation, working with cutting-edge technologies like Redshift, Hadoop/Hive/Pig while handling massive datasets. The position involves close collaboration with business teams to analyze cost-saving initiatives and solve unique business problems through creative problem-solving approaches.

As a key member of the team, 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 ensuring optimal performance of queries running on billions of rows of data.

This is an excellent opportunity for a data professional who wants to make a significant impact at scale, working with Amazon's world-class infrastructure and contributing to critical financial operations. The role offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity and comprehensive medical coverage.

Join a team that's at the intersection of finance and technology, where your work will directly influence Amazon's operational efficiency and decision-making processes. The role provides excellent growth opportunities and the chance to work with some of the most advanced data technologies in the industry.

Last updated 4 days ago

Responsibilities For Data Engineer, Finance Allocation Engine

  • Design and implement analytical environment using third-party and in-house reporting tools
  • Model metadata, 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 various cost savings initiatives
  • Work on large data sets in complex data warehouse environments

Requirements For Data Engineer, Finance Allocation Engine

Python
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)

Benefits For Data Engineer, Finance Allocation Engine

Medical Insurance
Equity
  • Medical benefits
  • Financial benefits
  • Full range of benefits package
  • Equity compensation available

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