Senior Data Engineer
 
Employer: GREE Job Posted: 9/20/2013
Location: San Francisco, CA Job Status: Full Time
 
 

Job Description:

GREE International, Inc.



San Francisco, California



Causation or correlation? If you are thrilled about

inferring knowledge from vast amounts of data and know how to

design scalable ETL systems, we would like to speak with you! GREE

International, a wholly owned subsidiary of Japanís fastest

growing tech company is seeking a top-notch senior data engineer

to help us find the intricate patterns of user and network

behavior in our very large bit buckets!

In this position you will work closely with

Business Intelligence analysts to provide optimized querying

platforms to extract useful information from a low-latency,

high-throughput data pipeline and warehouse. This position requires

excellent ETL skills, along with a desire to advance the team's

knowledge of state-of-the-art machine learning and data mining

algorithms and techniques. In addition, as a hands-on engineer, you

will participate in the design and implementation of analysis and

delivery tools that disseminate the knowledge of the data team

to all stakeholders in the organization.



Job Responsibilities



Design and implement very large data mining

systems

Evaluate and apply advanced data models,

storage and query optimization techniques

Architect

systems with scalability in mind

Optimize workload of

large scale data warehouses with multiple consumers



Work in a cross-functional team to identify, develop and

report key performance indicators.

Qualifications

5+ years of

experience with large scale data warehouse engineering and

ETL

Expert-level knowledge of

MySQL, PostGres, or Oracle

Experience with NoSQL -

MongoDB, Redis, Riak, Cassandra, or DynamoDB



Experience with Vertica, Redshift, and/or Tableau



Experience with Map Reduce or Hadoop / Hive a plus



Expertise with Python and one or more of the following

languages: Java, C++, PHP, Node.js, Perl

Ability to

analyze and implement time series analysis, multivariate

regression, Markov chains

Demonstrated academic or

professional statistics and math skills

B.S. in

Computer Science, Applied Math, Statistics or related field.

M.S. or Ph.D. a plus.



About GREE



GREE takes gaming to the next level by inviting the entire

world to come play. Founded on the belief that a

connected world is a better one, we're passionate about

bringing players together, using the universal language of

fun. As the global leader in free-to-play,

GREE unleashes the power of gaming by taking it mobile and making it

social. When you can play what you want, when and where

you want, it's even easier to discover new games, face off

against friends, and compete for the top spot on

leaderboards. Available for iOS and Android,

we make sure fun follows wherever you go. See why millions of gamers



get their game on with GREE:




To Apply:





 




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