Data Engineer, CorpFPA

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

Description For Data Engineer, CorpFPA

Join Amazon's Corporate Financial Planning & Analysis (FP&A) team in a unique role that provides visibility into all of Amazon's operations. As a Data Engineer, you'll be part of a team responsible for the company's enterprise-wide financial planning & analytics environment. This role combines data engineering and software development skills to build and maintain large-scale data systems.

The platform you'll work on directly impacts decision-making at the highest levels, including the CFO and finance leadership. You'll build tools that enhance productivity, improve financial accuracy, reduce waste, and enhance work-life harmony for a growing finance user base.

The ideal candidate will have strong data engineering fundamentals, including experience with data modeling, warehousing, and ETL pipelines. Knowledge of AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda is a plus. You'll work with both SQL and non-relational databases, contributing to a sophisticated data infrastructure that powers critical financial operations.

This is an excellent opportunity for a data professional who wants to make a direct impact on Amazon's financial operations while working with cutting-edge technologies and scalable systems. You'll be part of a team that values innovation, technical excellence, and user-focused solutions.

Last updated 18 hours ago

Responsibilities For Data Engineer, CorpFPA

  • Build and maintain enterprise-scale data & analytics software system
  • Build tools to enhance productivity and improve financial accuracy
  • Manage data pipelines for enterprise-wide financial planning & analytics

Requirements For Data Engineer, CorpFPA

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

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