Data Engineer, WWASFT

World's largest e-commerce and technology company offering a wide range of products and services.
$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, WWASFT

WorldWide Amazon Stores FinTech (WWASFT) team is seeking a data-driven and detail-oriented Data Engineer to join their team. This role offers an opportunity to work in one of the world's largest and most complex data warehouse environments, leveraging cutting-edge AWS big data technologies. The position involves designing and implementing scalable data infrastructure solutions, working with multiple data sources, and creating efficient data pipelines. The ideal candidate will combine technical expertise with excellent communication skills to work effectively with business owners and technical leaders. The role offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity and sign-on bonuses. Working at Amazon, you'll be part of a team that's driving innovation in financial technology while having access to world-class resources and development opportunities. The position requires expertise in SQL, Python, and data warehousing, with opportunities to work with advanced AWS services and big data technologies.

Last updated 6 hours ago

Responsibilities For Data Engineer, WWASFT

  • Design and develop data pipelines for extraction, transformation, and loading of data from various sources
  • Oversee and improve production operations including data delivery optimization and infrastructure scalability
  • Establish and maintain best practices for data integration solutions
  • Work with Product teams, Data Scientists, Software developers and Business Intelligence Engineers
  • Debug data processing and orchestration code

Requirements For Data Engineer, WWASFT

Python
PostgreSQL
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with scripting languages (Python, KornShell)
  • Knowledge of writing and optimizing SQL queries with large-scale datasets

Benefits For Data Engineer, WWASFT

Medical Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments available

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