Goodreads LLC
Corporate Operations, Data Engineering, no business category
DataEngineerIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer III at Goodreads LLC. Skills: Data engineering, Business intelligence, Data modeling. Design large-scale data structures. Develop large-scale data structures”
Industry & Context.
What They're Looking For.
Must Have
Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field and three years of experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field and seven years of progressive post-baccalaureate experience, One year of experience in developing and operating large-scale data structures for business intelligence analytics using ETL/ELT, OLAP, data, and Oracle
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design large-scale data structures
Develop large-scale data structures
Implement large-scale data structures
Test large-scale data structures
Document large-scale data structures
Operate large-scale 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 scalable solutions
Analyze source data systems
Drive best practices in source teams
Participate in full development life cycle
Produce dataset documentation
Evaluate dataset implementations
Evaluate use of new software products
Evaluate use of existing software tools
Mentor junior data engineers
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: GOODREADS LLC Offered Position: Data Engineer III Job Location: Seattle, Washington Job Number: AMZ9689619 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): (1) developing
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