Amazon Data Services, Inc.
Corporate Operations, Data Engineering, no business category
DataEngineerIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer III at Amazon Data Services, Inc.. Skills: Data Engineering, Business Intelligence, Data Structures. Design data structures. Develop data structures”
Industry & Context.
Root cause analysis
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 of experience developing and operating large-scale data structures, ETL/ELT experience, OLAP experience, Oracle experience
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 development life cycle
Produce dataset documentation
Evaluate dataset implementations
Evaluate software products
Mentor junior data engineers
How You'll Work.
Communication Scope
Dataset documentation
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DATA SERVICES, INC. Offered Position: Data Engineer III Job Location: Seattle, Washington Job Number: AMZ9850227 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): (
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