Engineer -Under little or no supervision, responsible for the development of analytical solutions and databases. Develops specifications for the most efficient database solutions. Supports the evaluation and selection of solutions that meets customer requirements. Good working knowledge and hands-on experience with key software platform architectures, web servers, application servers, and relational databases. Performs work involved in one or more of the phases of developing software used in products or services provided to the customer. Designs and implements enterprise infrastructure and platforms required for cloud computing. Analyzes system requirements and ensures that systems will be securely integrated with current applications. Has a deep understanding of system development in cloud environments, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS). Designs and builds relational databases for data storage or processing.
Architect- Under little or no supervision, applies programming and/or engineering disciplines for planning, design, analysis, and specification development for systems and databases to support the end user analysis process. Evaluates and recommends computer systems architecture in an organization. Develops sufficient understanding of the organization’s current architecture, future IT plans, corporate standards, and emerging trends to recommend hardware and software infrastructure. Responsible for, or assists in the recommendations of platform, end user Business Intelligence tools, design, quality assurance standards, and performance standards. Defines physical and cloud-based units and data structures based on models to satisfy the requirements. Provides expertise in the areas of system architecture, system design and systems management processes
All Team Positions develop strategies for warehouse implementation, data acquisition, and archive recovery. May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Provide consultation on complex projects and is considered to be a top-level contributor/specialist. Key member of a data science project team supporting analytic development.
a. Eight (8) years relevant experience in applied data science research or big data analytics.
b. Bachelor’s Degree in Computer Science, Engineering, Information Systems or related technical discipline. A Master’s degree may be substituted for up to two (2) years of experience. A PhD may be substituted for up to five (5) years of experience.
c. Ability to perform functional and data requirements analysis, and implementation of data engineering projects, analyze customer requirements and provide solution recommendations.
d. Demonstrate knowledge of information engineering methodologies, process improvement, and performance measurement
e. Ability to support the development of organization-wide data models for use in designing and building integrated, shared software and database systems;
Internal Number: 8.1
About KaDSci, LLC
KadSci is a small veteran owned technology and analysis support firm that designs, develops, and provides advanced computer based decision support tools, supporting analyses, and related staff support primarily to government and large business clients.
BACK TO TOP
Power Platform UGs Career Center is Just One of the Benefits.
Discover what else User Group has to offer!
The job you are trying to reach from was originally posted at Power Platform UGs Career Center.