ManTech - Chantilly, VA

posted 4 months ago

Full-time
Chantilly, VA
Professional, Scientific, and Technical Services

About the position

Join the top Information Technology and Analytic professionals in the industry to make invaluable contributions to our national security on a daily basis. In this innovative, self-contained, Big Data environment, the ManTech team is responsible for everything from infrastructure, to application development, to data science, to advanced analytics and beyond. The team is diverse, the questions are thought-provoking, and the opportunities for growth and advancement are numerous. The successful candidate will leverage their development skills and experience, as part of our Sponsor's Data Layer Engineering Team, to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data.

Responsibilities

  • Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud environment
  • Designing and implementing large-scale ingest systems in a Big Data environment
  • Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond
  • Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution
  • Developing custom solutions/code to ingest and exploit new and existing data sources
  • Developing data profiling, deduping logic, and matching logic for analysis
  • Organizing and maintaining Data Layer documentation, so others are able to understand and use it
  • Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods
  • Effectively articulating the risks and constraints associated with software solutions, based on environment

Requirements

  • Demonstrated experience delivering solutions using Amazon Web Services (e.g. AWS EC2, RDS, S3, etc.)
  • Demonstrated data analysis and parsing experience
  • Demonstrated Java development experience coupled with significant SQL/database experience
  • Experience with the full data lifecycle, from ingest through display, in a Big Data environment
  • Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs
  • Experience with Hadoop, Hbase, MapReduce
  • Experience with Kafka and Zookeeper
  • Experience developing and performing ETL tasks in a Linux environment
  • 2+ years of relevant software development/programming experience
  • High School Diploma or GED

Nice-to-haves

  • Experience with Elasticsearch
  • Experience Gradle
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