Senior Data/Hadoop Engineer
San Francisco, CA
Skype or WebEx
DURATION – 10 months+
We need a strong SAS/SQL/AWS/HIVE developer who can support the non-statistical model development project in the SAS/ Teradata platform and subsequently transition these models to the AWS/HIVE/Python platform.
*Job Details:*
The Senior Data Engineer will work with the Regulatory Affairs department to deliver forecasting models to support rate case filings.
The...
Senior Data/Hadoop Engineer
San Francisco, CA
Skype or WebEx
DURATION – 10 months+
*Job Details:*
The Senior Data Engineer will work with the Regulatory Affairs department to deliver forecasting models to support rate case filings.
The data engineer must have experience with statistical analysis and modeling projects.
The data engineer must be comfortable interacting and communicating with both Business and IT project team members.
The data engineer must have expertise in mathematics and applied statistics with programming skills to create predictive models and tools.
*Skills needed for this Senior Data Engineer are:*
SAS, SQL (Netezza, SQL Server, Teradata)
R Modeling concepts:
Machine Learning, Time series analysis, Clustering, Generalized Linear and Additive Models, Nonlinear Regression, Classification, Neural Networks, Decision trees, Text mining, OCR
Big Data Tools:
Hadoop, MapReduce Utility or regulated industry experience (preferred)
*Waiting for your response…*
Best Regards,
*Ravi Nigam*
978-558-4666 Ext. 101
ravi@teknavigators.com
San Francisco, CA
Skype or WebEx
DURATION – 10 months+
We need a strong SAS/SQL/AWS/HIVE developer who can support the non-statistical model development project in the SAS/ Teradata platform and subsequently transition these models to the AWS/HIVE/Python platform.
*Job Details:*
The Senior Data Engineer will work with the Regulatory Affairs department to deliver forecasting models to support rate case filings.
The data engineer must have experience with statistical analysis and modeling projects.
The data engineer must be comfortable interacting and communicating with both Business and IT project team members.
The data engineer must have expertise in mathematics and applied statistics with programming skills to create predictive models and tools.
*Skills needed for this Senior Data Engineer are:*
SAS, SQL (Netezza, SQL Server, Teradata)
R Modeling concepts:
Machine Learning, Time series analysis, Clustering, Generalized Linear and Additive Models, Nonlinear Regression, Classification, Neural Networks, Decision trees, Text mining, OCR
Big Data Tools:
Hadoop, MapReduce Utility or regulated industry experience (preferred)
*Waiting for your response…*
Best Regards,
*Ravi Nigam*
978-558-4666 Ext. 101
ravi@teknavigators.com
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