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You will be updated with latest job alerts via emailJob Title: Data Security Engineer (Onsite)
Location: Miami FL
Work Authorization: Must be authorized to work in the US (any work authorization)
Type: Temporary Project
Estimated Duration: 12 months with possible extension(s)
Earliest Start Date: ASAP
Seniority: Sr.
LOCAL CANDIDATES ONLY (currently located in Miami FL)
Musthave skills: 5 current years of exp: Strong security tool experience (M365 security tools Purview Imperva); Excellent understanding of cyber security and risk; Very good knowledge about encryption and database
Up to 5 y old: Imperva DAM; Data security /Data protection; Imperva/M365 security tools Purview
PREFERRED: Knowledge about Data leakage protection data classification database monitoring
Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client.
Requirements:
Availability to work 100% of the time at the Clients site in Miami FL (required);
Experience working as a Data Security Engineer (5 years);
Experience in process design and implementation;
Security tool experience (M365 security tools Purview Imperva);
Cyber security experience;
Experience in encryption and databases;
Experience in Data leakage protection data classification database monitoring;
Less than 25% with shipboard travel;
Bachelors Degree in Information Systems or Computer Science Related
Responsibilities include but are not limited to the following:
Define and create processes matching to all brands for Data leakage protection by using different tools for unstructured data
Investigate and create a model for automated data discovery and classification on unstructured data preferable with existing toolset
Define and implement a Database security monitoring process preferable with existing tools like Imperva DAM for discovery and classification of data in structured Databases
Investigate and create a model for (automated) data encryption based on classification for protectable data in Databases
Full Time