Amazon Web Services, Inc.
Corporate Operations, Data Engineering, no business category
DataEngineerII-AMZ26123
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II - AMZ26123 at Amazon Web Services, Inc.. Skills: Data engineering, Business intelligence, Data modeling. Design large-scale, high-volume, high-performance data structures for business. Develop large-scale, high-volume, high-performance data structures for business”
Industry & Context.
What They're Looking For.
Must Have
Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience, one year of experience in developing and operating large-scale data structures for business intelligence analytics using ETL/ELT, OLAP data, SQL, and Oracle
Nice to Have
All applicants must meet all the above listed requirements
What You'll Do.
high-performance data structures for business
high-performance data structures for business
Implement large-scale
high-performance data structures for business
high-performance data structures for business
high-performance data structures for business
high-performance data structures for business
Implement data structures using best practices in data
Implement data structures using best practices in ETL/ELT
Implement data structures using best practices in SQL
Implement data structures using best practices in Oracle
Implement data structures using best practices in OLAP
Provide on-line reporting and analysis using OBIEE business
Provide on-line analysis using a logical abstraction layer
Provide on-line analysis against multiple sources
Gather business requirements
Gather functional requirements
Translate requirements into robust solutions
Translate requirements into scalable solutions
Translate requirements into operable solutions
Analyze source data systems
Drive best practices in source teams
Participate in the full development life cycle
Produce comprehensive dataset documentation
Produce usable dataset documentation
Evaluate dataset implementations designed by peer data engineers
Make decisions around dataset implementations designed by peer
Evaluate the use of new software products and
Make decisions around the use of new software
Evaluate the use of existing software products and
Make decisions around the use of existing software
Mentor junior data engineers
Full Job Description
Employer: Amazon Web Services, Inc. Position: Data Engineer II Location: Boston, MA 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 $132100 - $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 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 in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and
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