Amazon Data Services, Inc.
Corporate Operations, Data Engineering, no business category
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at Amazon Data Services, Inc.. Skills: Data Engineering, Business Intelligence, Data Structures. Design data structures. Develop data structures”
Industry & Context.
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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