Job Description

Responsibilities:

• 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

Experience:

• 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
• Experience developing and performing ETL tasks in Linux and/or Cloud environments
• Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs

Preferred Qualifications:

• Experience with Hadoop, Hbase, MapReduce
• Experience with Elasticsearch
• Experience working in a mission environment and/or with many different types of data