Data Engineer II - AMZ10595704

Amazon · US, CO, Denver · 2-5 years · Full-time

Key skills

  • SQL
  • Data Modeling
  • ELT
  • ETL

Job description

Application deadline: Applications will be accepted on an ongoing basis

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Data Engineer II

Job Location: Denver, Colorado

Job Number: AMZ10595704

Position Responsibilities:

Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements 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 tools. Mentor junior data engineers.

40 hours / week, 8:00am-5:00pm, Salary Range: $145,787/year to $178,800/year.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:

https://www.aboutamazon.com/workplace/employee-benefits.

Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

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