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Big Data Engineer in Chantilly, VA at Booz Allen Hamilton Inc.

Date Posted: 11/16/2018

Job Snapshot

Job Description

Job Number: R0042523

Big Data Engineer

Key Role:

Leverage Cloud computing and Big Data technologies to implement a Big Data analytical environment to support client analytical needs. Use subject matter expertise to help shape the design and implementation of Big Data systems. Conduct technology and performance evaluations and implement technical solutions. Develop relational or NoSQL databases, use and develop Extract, Transform, and Load (ETL) tools, and support information storage and retrieval, data flow, and analysis. Research, evaluate, and deploy advanced Cloud computing systems and large data analytics for clients in research and production areas, provide subject matter expertise to design and implement approaches for ingesting and organizing data with the analytical environment, and work with massive data sets, complex algorithms, and team members from a variety of specialties to solve complex problems. Support a range of clients, including front line analysts, researchers, and senior leadership. Work as a key contributor on a collaborative, fast-growing, and highly skilled software development team.

Basic Qualifications:

-3+ years of experience with Java or Python software engineering

-2+ years of experience with Open Source Big Data technologies, including Hadoop

-Experience with Cloud computing and NoSQL technologies

-Experience with designing and implementing solutions for ingesting data into Big Data environments

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with the design, development, tuning, and creation of database environments

-Ability to exhibit flexibility, initiative, and innovation in dealing with ambiguous, fast-paced situations

-BA or BS degree in CS preferred

-Hadoop or Cloud Certified Professional Certification


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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