Amazon Web Services, Inc.

Corporate Operations, Data Engineering, no business category

DataEngineerII

$135–179k Dallas, Texas, 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 Web 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, Develop and operate large-scale data structures, ETL/ELT, OLAP, data modeling, Oracle

Nice to Have

See job description, Position requirements above

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 products

Make decisions on tools

Mentor junior data engineers

Full Job Description

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Data Engineer II Job Location: Dallas, Texas Job Number: AMZ9629059 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 one year 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 five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) developing a

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