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 structures, Business intelligence, ETL/ELT. Design data structures. Develop data structures”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Master's degree or foreign equivalent, One year of experience, Bachelor's degree or foreign equivalent, Five years progressive post-baccalaureate experience, One year experience developing and operating large-scale data structures, One year experience with ETL/ELT, One year experience with OLAP, One year experience with data modeling, One year experience with Oracle
Nice to Have
See job description, See position requirements
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 use
Make decisions on tool use
Mentor junior data engineers
How You'll Work.
Team & Collaboration
Peer data engineers; Junior data engineers
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DATA SERVICES, INC. Offered Position: Data Engineer II Job Location: Cupertino, California Job Number: AMZ9794525 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 $170,068/year to $205,600/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 Comput
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