Amazon Data Services, Inc.

Corporate Operations, Data Engineering, no business category

DataEngineerII

$144–179k Seattle, Washington, 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 Engineering, Business Intelligence, Data Structures. Design data structures. Develop data structures”

Industry & Context.

Corporate Operations, Data Engineering, no business category

What They're Looking For.

Must Have

Master's degree or foreign equivalent, One year of experience, Bachelor's degree and five years progressive experience, One year experience in ETL/ELT, One year experience in OLAP, One year experience in data modeling, One year experience in Oracle

What You'll Do.

Design data structures

Develop data structures

Implement data structures

Document data structures

Operate data structures

Implement data structures using data modeling

Implement data structures using ETL/ELT

Implement data structures using SQL

Implement data structures using Oracle

Implement data structures using OLAP

Provide on-line reporting

Provide on-line analysis using OBIEE

Gather business requirements

Gather functional requirements

Translate requirements into solutions

Analyze source data systems

Drive best practices in source teams

Participate in development life cycle

Produce dataset documentation

Evaluate dataset implementations

Evaluate software products

Evaluate software tools

Mentor junior data engineers

Full Job Description

Employer: Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: 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 $144308 - $178800) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occu

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