Amazon.com Services LLC

Corporate Operations, Data Engineering, no business category

DataEngineerIII

$156–199k Nashville, Tennessee, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer III at Amazon.com Services LLC. Skills: Data engineering, Business intelligence, Data modeling. 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, 3 years of experience, Bachelor's degree or foreign equivalent, 7 years of progressive post-baccalaureate experience, 1 year experience developing and operating large-scale data structures, 1 year experience with ETL/ELT, 1 year experience with OLAP, 1 year experience with Oracle

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

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 processes

Implement data structures using SQL

Implement data structures using Oracle

Implement data structures using OLAP technologies

Provide on-line reporting

Provide 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 use of software products

Evaluate use of tools

Mentor junior data engineers

How You'll Work.

Team & Collaboration

Peer data engineers

Full Job Description

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Nashville, Tennessee Job Number: AMZ9674829 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. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an 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 seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1)

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