Offers “Amazon”

Expires soon Amazon

Data Engineer

  • Seattle (King)
  • IT development

Job description



DESCRIPTION

The SCAR (Strategy Capacity Analytics and Research) Team that supports Global Specialty Fulfillment (GSF) org. is seeking an exemplary Business Intelligence Engineer with broad technical skills to help build the infrastructure and tools required to support a new, fast growing business. The ideal candidate will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and a passion for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent SQL scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

The complexity of research and skills for a Data Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical model and intuitive data visualization. In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.

Main responsibilities of this role include but are not limited to:

- Perform data extraction, manipulation and production from database tables
- Manage and grow a database infrastructure
- Design, implement and validate complex logic using queries and programming languages
- Develop automation solutions through programming languages
- Support analytical researches and provide recommendations to business challenges

Desired profile



BASIC QUALIFICATIONS

- BS degree in quantitative or technical discipline and/or 2+ years of Amazon experience.
- Proficiency in a programming language
- Prior experience in database and data table design
- Prior experience working with large data sets and writing complex SQL statements including query and server optimization
- Prior experience in developing requirements and formulating business metrics for reporting

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