Database Administrator Remote

Overview

premier strategic services firm that meets IT and Service needs for commercial and government clients. We are is seeking a full-time Database Administrator to support DoD customer out of the DMV. This is an exempt remote opportunity.

• Performs all functional duties identified independently
• Design, create, and maintain databases in a client/server environment
• Operate desktop database tools, scripts or queries to process and validate extracted data
• Expert experience with Oracle 19c
• Perform AWS Redshift Data Warehouse and Oracle RDS DB administration
• Diagnose and resolve production data load issues in a large-scale AWS data warehouse
• Administer, test, and implement computer databases, applying knowledge of database management systems
• Establish and maintain data load and validation procedures to ensure the integrity and availability of data by the daily "data available" deadlines in a AWS Data Warehouse
• Coordinate changes to computer databases.
• Populate assigned databases with validated records from structured/semi-structured flat files/extracts and source databases
• Plan, coordinate, and implement security measures to safeguard computer databases.
• Maintain databases within an application area, working individually or coordinating database development as part of a team.

• Bachelor's Degree in Business, Computer Science, or closely related field
• Minimum three (3) years' experience in database administration
• Must meet specific certification and training requirements in accordance with DoD 8570.1-M, DoDD 8570.1 (Certified within 6 months of assignment)

• Excellent oral and written skills
• Excellent critical thinking skills
• Proficient in Microsoft applications such as Word, Excel, PowerPoint, and Outlook.
• Ability to work independently and as a team member
• Ability to learn and apply technical concepts to assigned duties
• Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
• Experience applying Structured Query Language (SQL), Non-Structured Query Language (No
  
  SQL)
• Experienced with MSSQL, MySQL, Mongo, PostGRES, and Oracle Solutions Experience applying complex mathematical and statistical concepts