Lead Data Engineer

San Diego, CA 92130

Post Date: 07/20/2018 Job ID: 281341-1_1 Category: Credit Salary: Up to 155k Base
Smith Hanley Associates
Lead Data Engineer
Location: San Diego, CA
Salary: Up to 155k Base
Contact: Sean Murphy - [email protected]

The Lead Data Engineer will be expected to build big data applications leveraging in house custom tools and frameworks. The Lead Data Engineer will also implement cutting edge algorithms to improve computing code for machine learning based models using advanced programming methods. Document the algorithms and develop test/control processes to prepare code for external use. Implement/operate data pipelines to collect millions of rows of data and write code to develop new software products and features. Leverage regression testing of the existing code base to update and improve the existing code. The Lead Data Engineer should have a knowledge of modeling techniques in order to properly implement machine learning models into production.

Requirements for Lead Data Engineer:
-M.S. in Computer Science, Computational Engineering or similar technical discipline
-Strong working experience within Hadoop and Spark to organize/analyze large volume of data
-Should have strong experience working with raw/unstructured/ or any other data sets and have good knowledge of data warehousing
-Object Oriented programming experience with Java, Python, or C/C++ is REQUIRED. Object Oriented experience within Data Science is highly preferred
-Experience within Unix/Linux environment for large scale systems software design
-Experience within Machine Learning Techniques and frameworks, specifically neural networks
-Familiarity with tools such as git or svn a big plus!

Sean Murphy
Executive Recruiter

Sean's recruiting knowledge, human resources expertise and quantitative insight are now being leveraged to identify qualified candidates for specific credit roles. Sean considers his communications skills, his sense of urgency and initiative as critical strengths for building solid relationships in this tight knit industry.

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