Data Engineer Analyst

at  Elder Research

DESIRED SKILLS:

• Experience with data wrangling, dashboards and visualization of large datasets using commercial or open-source tools (Ex. Apache Hive, Elastic Search and Kibana, Tableau)
• Geospatial experience
• Bachelors or Master’s degree in technical or related field, and 1 years’ experience OR 3+ years of relevant experience

• Ability to work on-site for 36 hours during a typical week
• TS/SCI with CI-Polygraph
• Experience supporting the geospatial intelligence mission space
• Work collaboratively with data scientists, business consultants, and software engineers to create and deploy dynamic data applications that help our customers make meaningful business decisions
• Ability and the willingness to tailor applications to a client’s business goals using an iterative methodology
• Communicate clearly both verbally and in writing to teammates and clients
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time
• Problem-solving aptitude
• Data fluency including data manipulation, data understanding and the ability to identify issues with data.
• Familiarity with data transformation (ETL) – aggregations, transformations, loading (academic or brief experience).
• Interacted with SQL or NoSQL databases via a programming language such as R, Python, Java, JavaScript
• Understanding of databases and database designs
• Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure, etc.