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A strong background in data engineering with Python/Pyspark.
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Experience in manipulating, processing and extracting value from large disconnected datasets.
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Advanced understanding of data transport, data pipelining, data cleaning, and data quality methods
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Experience in creating functions in Python and UDF’s in Pyspark
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Experience in Data Modelling creating semantic data models for downstream data consumption.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience in data engineering methods to include optimizing data for data science, i.e. machine learning (ML), Satisfiability modulo theories (SMT), and graph analysis methods
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Advanced level knowledge and demonstrated experience in developing and deploying real-time analysis capability of large scale and often diverse data sets, that enable more effective, efficient and coordinated defense capabilities
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Experience interfacing with technology teams to bring lab concepts to market within an organization and building effective operational models to ensure capabilities are able to be fully utilized and grow to meet the needs of the team
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Strong working knowledge in the thought process, methodologies, and techniques used by advanced criminal and nation state adversaries spanning multiple aspects of the security domain
