Amazon.com - Seattle, WA

posted 12 days ago

Full-time - Entry Level
Seattle, WA
General Merchandise Retailers

About the position

As a Data Engineer at Amazon, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured data. The role involves overseeing existing pipelines and developing new ones for machine learning. The operating environment is fast-paced and dynamic, with a strong team spirit and welcoming culture. The ideal candidate must be detail-oriented, enthusiastic, and flexible, gaining experience with the latest in big data technologies and exposure to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and development.

Responsibilities

  • Develop scalable and maintainable data pipelines for structured and unstructured data.
  • Oversee existing data pipelines and develop new ones for machine learning applications.
  • Collaborate with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to solve complex problems.
  • Utilize big data technologies to build products that resolve customer issues and eliminate systemic defects.

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)
  • Bachelor's Degree

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, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
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