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Consultant - Security Engineer (Data Native Environments)
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Job Description
 We are seeking an experienced  Consultant - Security Engineer   with specialized knowledge in securing data-native environments. This role involves working across Enterprise Data Warehousing (EDW), Real-Time Streaming (RTS), and containerization technologies, ensuring robust security for sensitive data across large-scale infrastructures. You will design, implement, and monitor security protocols, collaborating with key stakeholders to ensure compliance with regulatory standards.   If you are passionate about cutting-edge technology and cybersecurity, and thrive in dynamic environments, we encourage you to apply!  Key Responsibilities: 
- Architect and secure Enterprise Data Warehousing (EDW) platforms such as Cloudera, Hadoop, and Spark. 
- Implement security for Real-Time Streaming (RTS) platforms like Kafka and Flink. 
- Manage security tools (Ranger, Atlas, Knox) and ensure comprehensive EDW security. 
- Secure reporting platforms (Microsoft Power BI, Tableau) across web and mobile. 
- Safeguard CI/CD pipelines using technologies like GitHub Actions and Jenkins. 
- Secure databases (Oracle, MongoDB, Redis, Elastic) and ensure regulatory compliance. 
- Apply security controls for APIs, containers (Kubernetes/OpenShift), and Web Application Firewalls (WAF). 
- Perform source code reviews, application penetration testing, and secure mobile platforms (iOS/Android).   Technical Expertise Required: 
- Bachelor's degree in Computer Science, Information Security, or related fields. 
- Relevant certifications (CISSP, OSCP, CEH, CISM/CISA, CCSK/CCSP, CKA/CKS). 
- Cloud platform certifications (AWS/Azure/GCP/Oracle) are a plus. 
- Networking certifications (CCNA, CCNP, CCIE) are desirable. 
- Proficiency in cybersecurity principles like SoD, RBAC, and encryption techniques. 
- Knowledge of regulatory frameworks (PCI-DSS, GDPR) and cloud security (AWS, Azure, GCP, Oracle). 
- Hands-on experience in Kubernetes security and CI/CD processes. 
- Skilled in Python automation for securing workflows. 
- Minimum of 2 years of information security engineering experience in data-native environments. 
- Experience leading technical teams and managing stakeholders in a DevOps setting. 
- Expertise in EDW, RTS, Data Analytics, and containerization platforms. 
- Knowledge of microservices architecture and secure technology solutions. 
- Strong problem-solving, communication, and stakeholder management skills.   Join us in securing cutting-edge technology environments! Apply today!#J-18808-Ljbffr   
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