Lead Geospatial Data Engineer (Finance)

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.
Two Six Technologies is actively seeking a Lead Geospatial Engineer to join our TCI team. The team is composed of intellectual individuals, passionate about manipulating data and data flows for both existing and new systems. Additionally, the selected candidate will provide support in the areas of data extraction, transformation and load (ETL), data mapping, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems. As a member of the team, candidates will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.KEY RESPONSIBILITIES

• Research, design, and develop better ways of leveraging geospatial and telemetry data flows in our enterprise-wide systems and/or applications
• Use Java to manage and improve current NiFi code
• Troubleshoot Oracle and Elastic datastores in the event of an outage
• Develop complex data flows, or makes significant enhancements to existing pipelines
• Resolves complex hardware/software compatibility and interface design considerations
• Conducts investigations and tests of considerable complexity

MINIMUM QUALIFICATIONS:

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
• Minimum eight (8) years of related software engineering and ETL experience
• Experience building and maintaining data flows in NiFi, Pentaho, and Kafka, and familiarity with NoSQL datastores.
• Proficient in multiple programming languages, including Java/J2EE, C, C++, SQL, XML, XQuery, XPath, Python, and JSON.
• Skilled in data visualization with geospatial data, using ESRI and related technologies, and knowledgeable in analytic and targeting methodologies for geospatial data.

DESIRED QUALIFICATIONS:

• Familiarization executing jobs in Big Data Technologies (i.e., Hadoop or Spark)
• Knowledge of servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
• Strong problem-solving skills
• Ability to comprehend database methodologies
• Focus on continual process improvement with a proactive approach to problem solving

SECURITY CLEARANCE:Active TS/SCI with Polygraph#LI-SD1, #LI-CP1, #LI-ONSITE
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