Our Client seeking a Senior Data Engineer to support the Insider Threat mission. Data Engineers work with various security system data owners to automate data integration and collection strategies. Work closely with the data science team to ensure data cleanliness and accuracy.

• Support data science team by designing, developing and implementing scalable ETL process for disparate data sets into a Hadoop infrastructure


• Design, develop, implement and maintain data ingestion process from various disparate data sets using Stream Sets (experience with Stream Sets not mandatory)


• Develop processes to identify data drift and malformed records


• Develop technical documentation and standard operating procedures Mentor new and junior data engineers


• Leads technical tasks for small teams or projects

KNOWLEDGE SKILLS AND ABILITIES:

• Working knowledge of entity resolution systems


• Experience with messages systems like Kafka


• Experience with NoSQL and/or graph databases like MongoDB or ArangoDB Any of the following databases: SQL, MongoDB, Oracle, Postgres


• Working experience with ETL processing


• Working experience with data workflow products like StreamSets or NiFi


• Working experience with Python RESTful API services, JDBC


• Experience with Hadoop and Hive/Impala


• Experience with Cloudera Data Science Workbench is a plus


• Understanding of pySpark Leadership experience


• Creative thinker


• Ability to multi-task


• Excellent use and understanding of data engineering concepts, principles, and theories

BASIC QUALIFICATIONS:

Bachelor’s degree in systems engineering, a related specialized area or field is required (or equivalent experience) plus a minimum of 8 years of relevant experience; or Master's degree plus a minimum of 6 years of relevant experience. Agile experience preferred.