Data Security Engineer Job Description Template

We are looking for a remarkable data security engineer that has a strong commitment to data security and can succeed in a high-pressure setting that values both individual initiative and teamwork. This is a hands-on technical position that is ideal for a candidate who’s passionate about creating data store security solutions for both on-premises and multi-cloud scenarios.

Typical Duties and Responsibilities

  • Create SQL and NoSQL data security architectures that adhere to compliance and security standards
  • Actively look for new techniques and approaches for protecting hybrid environments’ data stores
  • Use DevSecOps for the infrastructure of data store security when designing, developing, deploying, and maintaining software
  • Work autonomously with little or no supervision on important, time-sensitive, and highly visible assignments
  • Hold meetings with the functional teams to further ISDS security standard implementation
  • Take advantage of errors and events as a chance to enhance procedures and equipment

Education

  • Bachelor’s degree in computer science, software engineering or a related field

Required Skills and Experience

  • 4+ years of mid-senior level expertise in data store technologies with a focus on data security
  • 2+ years of experience with secure network architectures, AWS Security or other related professional security certifications
  • 2+ years of practical experience using AWS, GCP, and cloud technologies
  • Excellent knowledge of service-level goals and the capacity to measure, report, and implement them
  • Knowledge of the encryption, logging, log aggregation, and analytics domains
  • Knowledge of using Python and Java to construct automation tools
  • Adaptable with the ability to quickly learn new technology
  • Self-starter with great interpersonal skills and the ability to work in cross-functional teams

Preferred Qualifications

  • Master’s degree in computer science or cybersecurity
  • Knowledge of machine learning in the area of anomaly identification and user behavior analytics
  • Knowledge of distributed monitoring tools like Splunk, ELK, and log aggregation
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