The data engineer is responsible for expanding and optimizing our data and data pipeline architecture well as optimizing data flow and collection for cross functional teams. The Data Engineer will support database architects, data warehouse managers, data analysts and data scientists on data initiatives and will will ensure optimal data delivery architecture is consistent throughout ongoing projects. Key Responsibilities: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional
industry best practices. Enhanced reporting with clear data driven results for use during security assessments Implement and report against scheduled sensitive data discovery. Stay current on IT security trends and Qualys, AV, SIEM's, Qualys and Nessus, unstructured data scanning, rogue detection etc. Pentest experience
and interface specifications. Analyze information/data flow, system platforms, components, and dependencies cycle) and security principals Experience with SQL data structure and design Understanding of application Studio, Microsoft IIS, API, SQL, MySQL structured data etc.
Contribute to ongoing projects in areas such as data management, analytics, and customer support. Participate
reporting and analysis on key Organizational training data/metrics Equip trainees with the skills needed to consistent approach Coordinate Training logistics and data management Design Conduct behavioral Training programs
reporting and analysis on key Organizational training data/metrics Equip trainees with the skills needed to consistent approach Coordinate Training logistics and data management Design Conduct behavioral Training programs
internal teams to gather necessary information and data to support funding applications Ensure compliance
internal teams to gather necessary information and data to support funding applications Ensure compliance