Amazon.com Services LLC
Corporate Operations, Data Engineering, no business category
DataEngineerIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer III at Amazon.com Services LLC. Skills: Data Engineering, Business Intelligence, Data Modeling. Design data structures. Develop data structures”
Industry & Context.
What They're Looking For.
Must Have
Master's degree or foreign equivalent, three years of experience, one year of experience in ETL/ELT, one year of experience in OLAP, one year of experience in data modeling, one year of experience in Oracle
Nice to Have
Bachelor's degree or foreign equivalent, seven years of progressive post-baccalaureate experience
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 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
Mentor junior data engineers
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Sunnyvale, California Job Number: AMZ9740767 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. 40 hours / week, 8:00am-5:00pm, Salary Range $177,800/year to $240,500/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer
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