Lead Data Engineer

Company: Recruits Lab
Location: Chantilly, Virginia, United States
Type: Full-time
Posted: 14.APR.2021

Summary

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable custom...

Description

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 13,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high performance team!General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran.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.CLEARANCE REQUIREMENTS: A TS/SCI security clearance (required required at time of hire) with the ability to obtain a Full Scope Polygraph. Candidates must be able to obtain the Polygraph within a reasonable amount of time from date of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.JOB DESCRIPTION:Developing mission-critical systems that help keep people safe is what we do. At General Dynamics Mission Systems, you'll be part of the team that helps heroes make a true impact. The work we do is important. The challenges we face are career-defining. The opportunity we can offer is one-of-a-kind.We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers' missions in cyber, RF, undersea, interstellar space and everything in between.As a Lead Data Engineer, you'll lead model and simulation activities as you participate in requirements analysis and management, functional analysis, performance analysis, system design, trade studies, systems integration and test (verification). It's your chance to step up to the challenge and prove you're ready to lead the world.REPRESENTATIVE DUTIES AND TASKS:We are 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 datasets into a Hadoop infrastructureDesign, develop, implement and maintain data ingestion process from various disparate datasets using StreamSets (experience with StreamSets not mandatory)Develop processes to identify data drift and malformed recordsDevelop technical documentation and standard operating procedures Mentor new and junior data engineersLeads technical tasks for small teams or projectsKNOWLEDGE SKILLS AND ABILITIES:Working knowledge of entity resolution systemsExperience with messages systems like KafkaExperience with NoSQL and/or graph databases like MongoDB or ArangoDB Any of the following databases: SQL, MongoDB, Oracle, PostgresWorking experience with ETL processingWorking experience with data workflow products like StreamSets or NiFiWorking experience with Python RESTful API services, JDBCExperience with Hadoop and Hive/ImpalaExperience with Cloudera Data Science Workbench is a plusUnderstanding of pySpark Leadership experienceCreative thinkerAbility to multi-taskExcellent use and understanding of data engineering concepts, principles, and theories

 
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