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Cyber Security, Data Security, Regulatory and Industry Compliance, Application Security, Enterprise Security, Data Center Security, Database Security, File Security, SharePoint Security, Insider Threat Protection, Ransomware Protection, Hybrid IT, Hybrid Cloud, Cloud Security, DDoS Protection, CDN, API Security, and DevSecOps.
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The TPM will manage multiple programs including IGA (Identity Governance & Administration) , PAM (Privileged access Management), RBAC (Role Based Access Control), DnR (Detect & Respond / Security Event Monitoring), AI Security, API Security, DLP (Data Loss Monitoring) and Data Security Fabric.
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Guide the definition of cybersecurity requirements and design solutions, offer direction on security technologies, analyze cybersecurity data and testing outcomes, initiate cybersecurity designs, and manage related engineering and security documentation.
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Expertise in data protection processes and technologies, IT cyber threat management, incident response, vulnerability testing, Data Security, Architecture, Security Management Reports and Metrics ( including working with Legal.
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DoD8570 IAT II Compliance Certification (Such as Security+, CCNA Security, GSEC, etc.) We are seeking an experienced Data Engineer (DataBricks) to join our team! Data Engineer (DataBricks.
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Cyber Security Fundamentals (Familiarity with key concepts of Vulnerability Management, Network Security/Secure Transmission Management, Data Loss Prevention, Identity Access Management, Threat Intelligence, Penetration testing, IT Risk Management.
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Leverage knowledge of security on multiple platforms and disciplines (Windows, Unix, Linux, data loss prevention (DLP), endpoint controls, databases, wireless security and data networking.
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Hands-on experience designing and deploying security controls across all security domains, such as access management, data protection, vulnerability management, incident response and management, application security, network security, preventive, detective, and offensive security solutions.
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Experience with assessment, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes such as data protection, identity and access management (IAM), network security with IaaS, PaaS, and other computing environments.
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Artificial Intelligence, Machine Learning, Cybersecurity, Data Security, Security Analytics, Network Security, Identity and Access Management, IT Risk Management, Behavioral Analytics.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-drivenRepresent Databricks at academic and industry conferences & eventsWhat we look for:9+ years of experience in Data Security or related areas and expertise in two or more of the following.
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Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR) Implement security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations.
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Define and build required capabilities to achieve the client's vision through improved data strategy and operations. Experience applications, appliances, or machines aligned to DoD/DISA Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG.
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Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, Data Archival and Data Migration strategies using appropriate tools is desired.
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Design and optimize the big data architecture, including data collection, data governance, data security, data warehouse, data application, algorithm application etc.
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