Jobs / Ama***

Data Engineer II, Business Data Technologies

Ama*** · Seattle, WA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Seattle, WA, United States132,100-178,800 USD/yearlyOnsite
Remuneration
132,100-178,800 USD/yearly
Location
Seattle, WA, United States
Visa sponsorship
Sponsors visa

Job summary

DESCRIPTION Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception.

Benefits

Learn more about ourAt https://amazon.jobs/en/USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

Qualifications

  • and translate these
  • into robust, scalable, operable solutions that work well within the overall data architecture.
  • Analyze source data systems and drive best practices in source teams.
  • Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
  • Produce comprehensive, usable dataset documentation and metadata.
  • Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.
  • Evaluate and make decisions around the use of new or existing software products and
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • PREFERRED
  • Experience with AWS
  • and location.

Responsibilities

  • Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience.
  • As an Ama*** Data Engineer II you will be working in one of the world's largest cloud-based data lakes.
  • You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud).
  • You should have extensive experience in the design, creation, management, and business use of extremely large datasets.
  • You should have excellent business and communication

Skills

CommunicationElectronic Health Records

Degrees

Associate

Industry

EnergyInsuranceLogisticsRetail

Company size

EnterpriseSmb