Data Engineer I, Intl. Seller Growth

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

Description For Data Engineer I, Intl. Seller Growth

Join Amazon's International Seller Services (ISS) Central Analytics Data Engineering team, where you'll work alongside Applied Scientists, Data Scientists, and Economists to transform machine learning and AI research into impactful products. As a Data Engineer I, you'll be instrumental in creating robust data and ML infrastructure, focusing on building end-to-end analytical solutions that are highly available, scalable, and secure. The role involves working with massive datasets, requiring expertise in data organization and curation for analytics. You'll be responsible for designing and implementing large-scale data structures, creating efficient ETL/ELT processes using AWS technologies, and collaborating with cross-functional teams to deliver optimal solutions. This position offers an opportunity to work with cutting-edge big data technologies and contribute to Amazon's global seller services platform. The ideal candidate combines technical expertise with strategic thinking to architect advanced data ecosystems that drive business value. Working at Amazon means being part of a company that values innovation, long-term thinking, and technical excellence, while solving complex problems at a global scale.

Last updated a day ago

Responsibilities For Data Engineer I, Intl. Seller Growth

  • Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science
  • Implement data ingestion routines using best practices in data modeling, ETL/ELT processes
  • Gather business and functional requirements and translate into robust, scalable solutions
  • Collaborate with engineers to help adopt best practices in data system creation
  • Identify opportunities in existing data solutions for improvements

Requirements For Data Engineer I, Intl. Seller Growth

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

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