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 RedShift, QuickSight, Actuate, and 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.BASIC QUALIFICATIONS
A Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics or a related field and 5 year of experience in the job offered, or as Operations Research Analyst, Database Developer, or a related occupation. Must have 3 year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: Actuate, RedShift, OBIEE, ETL/ELT processes; OLAP technologies; data modeling; SQL; and Oracle. .
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.PREFERRED QUALIFICATIONS
• All applicants must meet all of the above listed requirements.