Amazon Data Services, Inc.

Corporate Operations, Data Engineering, no business category

DataEngineerII

$170–206k Cupertino, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II at Amazon Data Services, Inc.. Skills: Data structures, Business intelligence, ETL/ELT. Design data structures. Develop data structures”

Industry & Context.

Corporate Operations, Data Engineering, no business category
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Master's degree or foreign equivalent, One year of experience, Bachelor's degree or foreign equivalent, Five years progressive post-baccalaureate experience, One year experience developing and operating large-scale data structures, One year experience with ETL/ELT, One year experience with OLAP, One year experience with data modeling, One year experience with Oracle

Nice to Have

See job description, See position requirements

What You'll Do.

Design data structures

Develop data structures

Implement data structures

Document data structures

Operate data structures

Implement data structures using best practices

Provide on-line reporting

Provide on-line analysis

Gather business requirements

Gather functional requirements

Translate requirements into solutions

Analyze source data systems

Drive best practices in source teams

Participate in full development life cycle

Produce dataset documentation

Evaluate dataset implementations

Make decisions on dataset implementations

Evaluate new software products

Make decisions on software use

Make decisions on tool use

Mentor junior data engineers

How You'll Work.

Team & Collaboration

Peer data engineers; Junior data engineers

Full Job Description

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DATA SERVICES, INC. Offered Position: Data Engineer II Job Location: Cupertino, California Job Number: AMZ9794525 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 $170,068/year to $205,600/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 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Comput

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