Amazon - Seattle, WA

posted 19 days ago

Full-time - Entry Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer I position within Amazon's Seller Services organization focuses on delivering data-driven analytical solutions to empower sellers on Amazon's global platform. The role involves constructing and maintaining complex data pipelines and building scalable solutions using AWS tools, with a strong emphasis on data architecture and ETL processes.

Responsibilities

  • Provide technical leadership and lead data engineering initiatives.
  • Build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
  • 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 and ETL/ELT processes.
  • Gather business and functional requirements and translate them into robust, scalable solutions.
  • Collaborate with engineers to adopt best practices in data system creation and documentation.
  • Identify opportunities for improvements in existing data solutions.

Requirements

  • 1+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
  • Experience with one or more scripting languages (e.g., Python, KornShell).

Nice-to-haves

  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
  • Experience with ETL tools like Informatica, ODI, SSIS, BODI, Datastage.

Benefits

  • Medical insurance
  • Financial benefits including equity and sign-on payments
  • Comprehensive employee benefits package
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