Data Protection Engineer
New
E
enGenData protection
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary79,300 - 127,100 USD per year
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Job Details
- Experience
- 5 years of experience with Data Loss Prevention; 5 years of experience with Information Security and Systems Analysis; 5 years of experience with deploying and maintaining infrastructure for DLP software's; 5 years of experience with creating and managing DLP policies. Preferred: 3 years of experience with at least two modern programming languages; 3 years of experience with designing and providing architectural support to at least two listed cloud service providers.
- Required Skills
- AWSPythonGCPAzure
Requirements
- Have 5 years of experience with Data Loss Prevention.
- Have 5 years of experience with Information Security and Systems Analysis.
- Have 5 years of experience deploying and maintaining DLP software infrastructure.
- Have 5 years of experience creating and managing DLP policies.
- Hold a bachelor's degree in Information Security, Information Systems, Information Assurance, Computer Science, or a related field, or meet the stated experience substitution.
- The experience substitution is 5 years in Information Security, Governance, Risk and/or Compliance, Information Technology, or Business Analysis, including at least 3 years of hands-on engineering experience.
- Preferred: Have 3 years of experience with at least two modern programming languages.
- Preferred: Have 3 years of experience designing and providing architectural support for at least two of GCP, AWS, or Azure.
- Preferred: Hold a master's degree in a related field.
- Preferred: CISSP, an advanced GCP, AWS, or Azure certification, or a Terraform or similar certification.
Responsibilities
- Implement and maintain data protection infrastructure across platforms and vendors, including DLP, DSPM, and data de-identification solutions.
- Collaborate on the design and implementation of data protection solutions in on-premises and cloud environments.
- Configure and maintain data protection policies, sensitive information types, detection parameters, and exception lists.
- Troubleshoot data protection incidents, conduct root cause analysis, and escalate complex issues.
- Assist with data protection project testing, implementation, and documentation, and participate in project meetings.
- Develop and maintain automation scripts, such as PowerShell and Python, to support data protection software.
- Collaborate with team members and stay current with data protection technologies, industry practices, and compliance requirements.
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