Amazon - Seattle, WA

posted 2 months ago

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

About the position

The Data Engineer position at Amazon Advertising focuses on supporting a machine learning initiative by ingesting semi-structured and unstructured content data. This role is crucial for building datasets that will enable data scientists and business intelligence engineers to derive insights from advertising communications. The position involves close collaboration with data science and engineering teams, and it offers significant visibility and exposure to senior leadership and international stakeholders.

Responsibilities

  • Design, develop and maintain scalable, automated data-marts and tables for model inputs, reports, and dashboards.
  • Use analytical and statistical methods to solve complex problems and inform business decisions.
  • Write high integrity code to retrieve and analyze data from database tables, particularly Redshift.
  • Explore and onboard new datasets into the data lake for worldwide use.
  • Set up processes for data ingestion, analysis, and output.
  • Establish mechanisms to proactively measure the quality of outputs.
  • Create and maintain key program reports.
  • Collaborate with engineering and business owners to understand content creation and delivery in Ads Marketing communications.

Requirements

  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with SQL.

Nice-to-haves

  • Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, and column-family databases.

Benefits

  • Competitive salary based on geographic location and experience.
  • Equity and sign-on payments as part of total compensation package.
  • Full range of medical, financial, and other benefits.
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