This is an urgent position with our client and they are willing to hire ASAP. Kindly go through the requirement and if you are available and interested for this requirement please feel free to reach me at firstname.lastname@example.org or 302-401-1081.
Job Title: Principal Hadoop Software Engneer
Location: Santa Clara, CA
Job Type: Full Time Permanent
About Oracle Utilities (Opower)
At Oracle Utilities (Opower), we’re applying cutting-edge computer science to one of humanity’s greatest challenges: Energy. Our utility customers in the United States and abroad give us energy usage data for tens of millions of their customers, which we then analyze and aggregate using state-of-the-art tools such as Hadoop, HBase, and Spark. If you are a top-notch engineer looking for a fast-paced place to work while being surrounded by highly skilled and driven peers, then Opower is the place for you.
About the Job
The Opower Data Platform team is responsible for all of the big data infrastructure that powers our SaaS analytics platform. Our team manages the services that ingest hundreds of millions of smart meter data reads a day and other key customer data. We provide Hadoop clusters for running analytics and machine learning algorithms, maintain BI and reporting tools, and run web services to make all of this data available to developers inside and outside of Oracle.
We are looking for an expert big data engineer who can help drive the next version of our architecture to support new sources of data and new end-users.
Thanks and Regards,
Enormous Enterprise LLC
Consulting | Innovation | Management
Our client is Looking for Machine Learning – Big Data Architect in Chicago, IL
If you are available and interested for this position please share your resume with expected salary to email@example.com
Location: Chicago, IL
•At least 12+ years of work experience
•Strong background in statistical concepts and calculations.
•Use machine learning, data mining, predictive modelling & statistical techniques to create new scalable models for business requirement.
•Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling,
•Strong Proficiency in statistical analysis tools ( R, Python and SAS)
•Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
•Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas
•Awareness or Experience with big data tools (Hadoop, HDFS & Spark)