Summary

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.

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

• TS/SCI clearance w/ poly
• 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 a Linux environment

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

(req - 162)

Posted On: Wednesday, March 9, 2022