Data Engineer II, Finanace Automation, Foundational Data Services

Global technology company specializing in e-commerce, 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 II, Finanace Automation, Foundational Data Services

Join Amazon's Foundational Data Services (FDS) team as a Data Engineer II, where you'll be at the forefront of building next-generation cloud-based analytics platforms handling billions in transactions. This role focuses on developing software systems that capture, process, and report on massive financial transactions across Amazon's global operations.

You'll be part of a team responsible for a petabyte-scale data lake and modern data mesh that powers Finance operations at Amazon. The platform supports hundreds of teams across engineering, science, and business intelligence, enabling advanced analytics and machine learning capabilities.

As a Data Engineer II, you'll work with cutting-edge big data technologies and AWS services like Glue, Lambda, Step Functions, and EMR. You'll design and implement scalable data solutions, working with tools like AWS DataZone and open table formats such as Apache Hudi and Iceberg.

The role requires strong expertise in ETL concepts, dimensional modeling, and programming skills in languages like Python, Java, or Scala. You'll be handling complex datasets and building robust data pipelines that ensure data quality and accessibility across the organization.

This is an excellent opportunity for someone passionate about large-scale data engineering who wants to make a significant impact on Amazon's financial operations. You'll be working in a collaborative environment, solving complex problems, and contributing to a platform that processes hundreds of billions of dollars in transactions daily.

Last updated 2 minutes ago

Responsibilities For Data Engineer II, Finanace Automation, Foundational Data Services

  • Design, develop, and maintain scalable data solutions on AWS
  • Build robust data pipelines and ETL workflows
  • Collaborate with cross-functional teams to understand business requirements
  • Architect scalable data solutions
  • Ensure data quality and integrity
  • Build and maintain petabyte-scale data lake
  • Support data-driven innovation for Finance operations

Requirements For Data Engineer II, Finanace Automation, Foundational Data Services

Python
Java
  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Strong understanding of ETL concepts
  • Experience building with large-scale, complex datasets
  • Expertise in at least one programming language - Scala, Python, Java or similar
  • Experience with data orchestration frameworks like Apache Airflow

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