FocusKPI, Inc. is looking for a Big Data Engineer to work for our client in San Jose, CA. This is a full-time contract with negotiable pay rate.
The Big Data Engineer will develop and enhance advanced data mining algorithms, which will help drive data analysis for a wide range of information.
Essential Duties and Responsibilities:
Big Data analytics application development using Kafka, Hadoop, Spark, HBase, etc.
Collaborate with other engineers to formulate innovative solutions to experiment and implement advanced data mining algorithms
Optimize data pipeline on Hadoop using Kafka, Spark streaming, and optimal use of Map/Reduce and Spark jobs
Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management
Working knowledge of Map-Reduce
Passion for working with big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation preferred
Proven ability to work with a team as well as work independently with minimum directions
A can-do attitude to carry out a project from scratch to production on a timely basis
A great communicator, strong project management skills, and superb attention to details
Required Experience and Skills:
Bachelor's Degree in Computer Science, Engineering, or related fields
Min 2+ years experience in Java software development for complex database applications
Min 2-years development experience in Hadoop environment with experience to Map/Reduce development paradigm
MUST have experience in HBase schema design for scalability and performance
Strong understanding of various data technologies for scaling and performance
Experience in optimizing big data pipeline a plus
Experience with Spark/Scala is preferred, but not required
Excellent problem solver, analytic thinker and quick learner
Thank you for applying!
FocusKPI Hiring Team
FocusKPI Inc. is an analytics consulting business providing solutions such as CRM customization, Risk Management, Business Intelligence, Advanced/Operational/Web/Digital Analytics as well as Human Resources for our clients