Data Architect Nomis Solutions
Nomis Solutions is the leader in providing profit-based pricing solutions to the financial services industries. Our solutions use state-of-the-art data mining and statistical analysis techniques to detect opportunities for price improvement through detailed analysis of historical data. Proprietary optimization techniques are used to determine how these opportunities can be implemented within a fast-moving and dynamic market environment. These opportunities have generated millions of dollars of benefits for leading banks and financial services companies worldwide. We have developed software solutions for unsecured consumer lending, auto lending, foreign-exchange sales and home equity lending are currently developing solutions for other markets including credit cards, mortgage, and insurance.
For more information on Nomis please visit our web site at http://www.nomissolutions.com
Nomis is developing a highly scalable, super-efficient, big data data platform that feeds our predictive analytics and software products. You are an ideal candidate if you have hands-on experience implementing data management frameworks that power analytical applications using relational, unstructured AND big data technologies.
Develop and enhancing a highly scalable infrastructure to acquire, process, store and query/use data.
Work in a cross-functional team of software architects, modeling scientists, project managers and other key stake holders to drive overall architecture.
Work with professional services to operationalize this data platform for various customer implementations.
Scripting Languages: PERL, Python (Pandas Library), R
Databases: MySQL (or Oracle), Mongo
ETL: Kettle, Informatica (or equivalent)
Big Data: Hadoop, PIG
10+ years of experience building data processing/management infrastructure
3+ years of experience as a data architect
Experience working in financial services or retail industries
Strong background in relational databases
Strong background in MapReduce/Hadoop frameworks
Experience in ETL frameworks
Expertise in job scheduling(custom and open source), data quality, metadata management and monitoring systems
Experience handling retail bank/financial institution data a plus
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San Bruno, CA 94066