Experience:
1-3 years of experience
Concerned about your lack of experience? Learn More...
Employment Type:
Full time
Posted:
1/18/2016
Job Category:
Information Services
Big Data Engineer - Graduate Scheme Program
(This job is no longer available)
Nomis Solutions | San Bruno, CA
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Job Description

Big Data Engineer

Nomis is looking for an outstanding data expert to join our team. We are looking for someone who is equally comfortable designing our data management system as well as working closely with our client services team to process critical data. You should be someone who's excited about exploring new technologies, big data, and becoming a key part of our client's success.

Who We Are & What We Build

We have brilliant people using cutting-edge technology and complex analytics to help banks deliver win-win products and pricing in an environment that is increasingly competitive and highly disruptive. In over 75 implementations, Nomis customers are on track to optimize $1 trillion in banking transactions and generate $1 billion in incremental profits.

Responsibilities

Establish and maintain big data processing platform

Build Hadoop-based data management applications
Design Hive/HBase/RedShift/Postgres/Oracle distributed data warehouse
Design, develop, maintain cross-platform ETL processes and MapReduce/Hive data processing workflows
Build Hive/HBase/MongoDB/Postgres/MySQL/Oracle data marts
Maintain dimensions and reference lookup dictionaries

Support client services teams by

Manage, customize, and execute cloud-based data processing supporting multiple clients
Administration of relational databases, capacity plans, infrastructure and storage design
Oversee and execute data migration from existing data stores
Application/implementation of custom analytics
Develop standards, guidelines, and QA processes to ensure highest data quality and integrity

Desired Skills and Requirement

2+ years programming experience in Java, Scala or Python
Experience writing complex SQL queries
Passion for Big Data technologies (Hadoop, MapReduce, Spark)
Knowledge of building distributed systems, query processing, database internals or analytic systems
Knowledge of ETL processes and tools

Strong Pluses:

Knowledge of Hadoop ecosystem products such as HDFS, MapReduce, Hive, Pig, Spark, AVRO, HBase/Cassandra/Accumulo, Zookeeper
Experience with SQL, Java (MapReduce), Python (linux shell like scripts) development
Experience of Business Intelligence - ideally via Tableau/Microstrategy using Oracle/MSSQL/Hive
Experience with data mining techniques and analytics functions
Predictive analytics experience is a PLUS

About Nomis Solutions

Since 2002, Nomis Solutions has been helping banks and finance companies increase profits while maintaining revenues and market share with its innovative approach to pricing. We currently work with 7 of the top 20 banks in the world and 5 of the top 10 banks in the US and 4 of the top 20 auto finance companies. Below is a select list of banks and finance companies that use a Profit-based Pricing approach enabled by our award winning solution -- Nomis Price OptimizerÔ -- to make better pricing decisions:Abbey AmeriCredit Chrysler Financial Ford Motor Credit Company GE Money HBOS plc Royal Bank of Canada Washington Mutual Bank