Data Engineer, Senior in Herndon, VA at Booz Allen Hamilton Inc.

Date Posted: 9/15/2018

Job Snapshot

Job Description

Job Number: R0035342

Data Engineer, Senior

Key Role:

Integrate, manipulate, and manage vast amounts of data into the next generation of Big Data analytic solutions for clients. Combine expertise in engineering with innovation to deliver robust solutions that serve clients and stands apart from competitors. Interact with a multi-disciplinary team of analysts, data scientists, developers, and users to comprehend data requirements to develop a robust data processing pipeline that will ingest, manipulate, normalize, and expose potentially billions of records per day to support advanced analytics. Conduct programming, have clean coding habits, pay strict attention to detail, and focus on quality. Collaborate with and contribute to open source software communities, ensuring quality delivery of software through thorough testing and reviews. Build and launch new data models that provide intuitive analytics to our customers and design, build, and launch efficient and reliable data pipelines to move large and small amounts of data to our data platform. Design and develop new systems and tools to enable folks to consume and comprehend data faster and identify new technologies to be injected into the platform to support advanced data integration and analysis.


Basic Qualifications:

-5+ years of experience with dimensional data modeling and schema design in data warehouses

-3+ years of experience with software design, implementation, and testing

-2+ years of experience with custom or structured ETL design, implementation, and maintenance

-Experience in working with Map Reduce

-Experience with batch and streaming frameworks, including Storm, NiFi, Apex, or Flink

-Experience with storage components, including Accumulo, HBase, or Hive

-Experience with developing service APIs for external consumption

-Knowledge of RESTful services design, development, and testing

-TS/SCI clearance

-BS degree


Additional Qualifications:

-Experience with multiple data modeling concepts, including XML or JSON

-Experience with RDBMS data stores, including Oracle or MySQL

-Experience with large-scale distributed systems design and development

-Experience with machine learning and deep learning concepts and algorithms

-Experience with DevOps methods and tools, including Jenkins, Git, SVN, Docker, or Vagrant

-Knowledge of scaling, performance, and scheduling

-Knowledge of at least one scripting language, including Python, Node, Ruby, or Bash

-Knowledge of system architecture, including process, memory, storage, and networking management preferred

-Possession of analytical and problem-solving skills

-BS degree in CS or a related field

-Security+ or CISSP Certification


Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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