- Develop and implement methods for data collection and reliability.
- Analyzes raw data sources to develop and maintain datasets for transforming into useful data systems.
- 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.
- Identifies ways to Improve data quality and efficiency.
- Research emerging technologies to determine meaningful upgrades to project.
- Provides input and is involved in writing and updating technical documentation.
- Troubleshoots complex problems and provides customer support for the ETL process
- Collaborate with fellow data engineers and data analysts
SKILLS AND QUALIFICATIONS
	- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Excellent analytic skills associated with troubleshoot Linux systems
- Experience performing configuration management (e.g., package installation, starting of services, installing scripts or config files)
- Experience with ETL process
REQUIRED EXPERIENCE & REQUIRED KNOWLEDGE / SKILLS:
	- 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
- 5-8 years of related software engineering, ETL, and/or data science experience.
- Excellent organizational, coordination, interpersonal and team building skills.
- Security Clearance Level: Top Secret/SCI with Polygraph
DESIRED KNOWLEDGE/SKILLS:
	- Experience with the following languages: PowerShell, SQL, XML, XQuery, XPath, Ruby on Rails, HTML/XHTML, CSS, Python, Shell Scripting, JSON
- Knowledge of servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
- Understanding of Agile and/or use of JIRA
- Strong problem-solving skills
- Ability to comprehend database methodologies
- Focus on continual process improvement with a proactive approach to problem solving
- Ability to follow directions and finish task