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Job Description
Job Id:
DS-170x
# of Openings:
1
PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph
Position Code: 04-SO0326-2
Location: Chantilly, VA
Summary
The successful candidate will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data.
Duties, Tasks & Responsibilities
- Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud 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
Required Experience, Skills, & Technologies
- Strong software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience
- Strong experience with the full data lifecycle, from ingest through display, in a Big Data environment
- Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs
- Experience developing and performing ETL tasks in Linux and/or Cloud environments
Desired Experience, Skills & Technologies
- Demonstrated experience delivering solutions using Cloud technologies, such as AWS, Microsoft Azure, etc.
- Experience with Hadoop, Hbase, MapReduce
- Experience with Elasticsearch
- Experience working in a mission environment and/or with many different types of data
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