Base: $155,979pyear to $198,700pyear; bonus/equity...
On-site
Large-scale data structures
Business intelligence analytics
Data modeling best practices
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics
Job Summary
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
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.
Matching Summary
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
Salary
Base: $155,979/year to $198,700/year; Bonus/Equity: Equity, sign-on payments, and other forms of compensation may be provided; Benefits: Full range of medical, financial, and/or other benefits
Skills & Requirements
Must-have
large-scale data structures
business intelligence analytics
data modeling best practices
ETL/ELT processes
SQL and Oracle
OLAP technologies
OBIEE business intelligence tools
Nice-to-have
source data system analysis
full development life cycle
dataset documentation and metadata
evaluate new software products
mentor junior data engineers
Key Requirements
Master's degree or foreign equivalent and 3 years of experience
Bachelor's degree or foreign equivalent and 7 years of experience
1 year experience in ETL/ELT, OLAP, data modeling, SQL, Oracle