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Job ID : 35237

Location : Dallas, TX

Company Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $25000 - $35000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Database tools, Data transformation tools, Data ingestion tools..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsiblties:

  • Research opportunities for data acquisition and new uses for existing data and collaborate with respective government POCs to frame open-ended analytical questions, identify weaknesses, develop solutions, and determine trends and/or opportunities.
  • Design, construct, install, test and maintain highly scalable data management systems, to include recommendations for improving data reliability, efficiency, and quality in context of meeting customer expectation and delivery timelines.
  • Integrate new data management technologies and software engineering tools into existing structures and architectures including but not limited to cloud-based data processing and storage.
  • Collaborate with ONI information Technology Enterprise and the Command Information Office on implementing and updating disaster recovery procedures for GEOINT data.
  • Develop data set processes for data modeling, mining, production, and proof of concept initiatives.
  • Employ a variety of scripting languages to develop integrated systems for data management, accessibility, and warehousing.
  • Contribute to the design of new product features by articulating current and anticipated customer needs and by weighting design trade-offs.
  • As needed, accompany ONI personnel to community GEOINT related conferences and meetings to gain insight and understanding of the latest military and civil sector GEOINT techniques and technologies under development.
  • As needed, travel to ashore and afloat naval and joint service commands, GEOINT-related trade shows and conferences to become familiar with special projects, exercises, and analytic methods.

Key Skills:

  • Database tools.
  • Data transformation tools. 
  • Data ingestion tools. 
  • Data mining tools. 
  • Data warehousing and ETL tools. 
  • Real-time processing frameworks. 
  • Data buffering tools. 
  • Machine Learning skills.

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