Data Engineer

World's largest e-commerce company that manages global payment offerings and leverages data-driven decision making.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer

Join Amazon's Payments Team as a Data Engineer working with one of the world's richest collections of e-commerce data. This role sits at the intersection of payments, data engineering, and customer experience, managing Amazon's global payment offerings. You'll work in a fast-paced environment handling hundreds of millions of customers and petabytes of data.

As a Data Engineer, you'll build and maintain data solutions that power critical business decisions. You'll work with cutting-edge AWS technologies including EMR, Lambda, Kinesis, and Spectrum, implementing solutions that process massive datasets using Spark and Redshift. The role involves creating fault-tolerant, self-healing data pipelines that handle the unique challenges of scale and performance.

You'll collaborate with a high-caliber team of software developers, data scientists, and product managers, using quantitative approaches to optimize customer targeting and payment experiences. The position offers the opportunity to work with both structured and unstructured data, implementing complex analyses that directly impact Amazon's payment offerings.

The ideal candidate combines technical expertise with strong business acumen, capable of translating business requirements into scalable data solutions. You'll own the entire data lifecycle, from extraction to analysis, ensuring high availability and quality of data services. This role offers the chance to make a significant impact on Amazon's payment systems while working with some of the most advanced data technologies available.

Benefits include competitive salary ranging from $91,200 to $185,000 based on location and experience, plus comprehensive medical insurance and 401k. Join a team that's shaping the future of e-commerce payments through data-driven innovation.

Last updated 3 hours ago

Responsibilities For Data Engineer

  • Work with huge data sets in one of the world's largest data warehouse environments
  • Build data analytical solutions to address complex business questions
  • Implement fault tolerant and scalable data flow solutions
  • Extract data from various sources and construct complex analyses
  • Write scalable code and tune performance for billions of rows of data
  • Work with business owners to develop and define key business questions
  • Ensure high data availability and low latency
  • Document data details and transformations
  • Handle user notifications and training

Requirements For Data Engineer

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

Medical Insurance
401k
  • Medical Insurance
  • 401k

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