The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
This global cryptocurrency exchange and Web3 technology company is a privately held entity, initially founded in 2013 before undergoing a significant rebrand in 2017.
Data Security Engineer
This role is responsible for developing and enhancing data security detection capabilities, including Data Loss Prevention (DLP), data encryption, and data masking. The individual will continuously validate existing data security rules and models, and will be involved in the identification, response, handling, investigation, and forensics of data security incidents. A key aspect of this position is to continuously improve risk identification capabilities in data security by optimizing detection rules and models to enhance overall detection coverage. The engineer will also build data asset maps and utilize graph detection and other techniques to trace data flows and identify sensitive data exfiltration risks.
Key Responsibilities
Develop and enhance data security detection capabilities, including, but not limited to, DLP, data encryption, and data masking.
Continuously validate existing data security rules and models; follow up on data security incident identification, response, handling, investigation, and forensics.
Continuously improve risk identification capabilities in data security by optimizing detection rules and models to optimize overall detection coverage.
Build data asset maps; use graph detection and other techniques to trace data flows and identify sensitive data exfiltration risks.
Requirements
Major in information security, network security, or computer science; 3–5 years of relevant experience in data security.
Familiar with the data security lifecycle, understanding the risk points and key objectives at each stage.
Familiar with common security offense and defense techniques, with experience in building security operations and managing data security risks; strong sensitivity to data exposure risks.
Familiar with data security products and detection methods such as DLP, UEBA, sensitive data identification, data encryption/decryption, and secure data sharing.
Experience with enterprise-level endpoint data protection solutions; experience in endpoint security, familiarity with macOS and Linux systems, and hands-on experience in data threat modeling is a plus.
Experience with enterprise-level big data analysis tools such as Flink, Hive, Spark, ElasticSearch, and graph technologies; hands-on experience in security data mining, analytics, or threat intelligence analysis is a plus.
Strong logical thinking and communication skills, with a good understanding of compliance and legal considerations.
Perks & Benefits
Competitive total compensation package.
L&D programs and Education subsidy for employees’ growth and development.
Various team building programs and company events.
Wellness and meal allowances.
Comprehensive healthcare schemes for employees and dependants.
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Disclaimer
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