Data Engineer II - AMZ26527.1
About The Position
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.
Requirements
- Master's degree or foreign equivalent degree 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 degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience
- One year of experience in developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
- One year of experience in developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
- One year of experience in developing and operating large-scale data structures for business intelligence analytics using data modeling
- One year of experience in developing and operating large-scale data structures for business intelligence analytics using SQL
- One year of experience in developing and operating large-scale data structures for business intelligence analytics using Oracle
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
Benefits
- A sign-on bonus
- Restricted stock units
- A full range of medical benefits
- A full range of financial benefits
- Other benefits, dependent on the position offered
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
