provide intermediate programming, configuring and /or analysis skills for specific system assignments. Manages interaction between the systems and corporate technical support areas when additional support is required.
Works closely with Enterprise data, Investment, and Distribution Staff and/or managers to expose industry standard Application Programming Interface and supporting service to provision informational, analytical, or workflow data needs.
In this role, you will stay appraised of new and/or improved technologies. The development of big data solutions, machine learning, cloud-based technologies, and business intelligence software is moving rapidly.
In this position, you will review the full scope of data source needs, design the final end state for successful availability in the analytic platform, and define all tasks for execution by the team. Support the strategy lead in the effort and provide guidance and advice for delivery.
In this role, you will be responsible for design and implement methods and models for evaluating cost, risk, and impact of complex collection platforms to inform decision makers and drive successful operations.
The Data Storage Engineer is responsible for ensuring the success of the NMECs IT department in achieving its strategic and financial goals and is responsible for the organizations technical platform storage infrastructure.
In this role, you must have experience in supporting software architecture development, requirements analysis, process execution and evaluation, selection and evaluation of COTS/GOTS tools, and system integration activities (with both new and legacy systems).
Assist in development of the Windows Development and Production Environment (WDPE), which is a project that is mandated to establish standards for development and production support for application systems on a Windows platform.
In this role, you will analyze data sources that cover all aspects of auditing network operations monitoring, operating system and applications, and soft sources, including personnel records, and their integration into a scalable unified view of available data.
In this role, the candidate will apply technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, providing a competitive advantage or addressing a pressing business problem.