SME - IT security

Role overview

Responsibilities

• Design scalable pipelines to ingest, transform, and process large security datasets.
• Integrate security platforms, ServiceNow, Dynatrace, and enterprise data ecosystems.
• Build Security Knowledge Graph solutions for threat detection and contextual analysis.
• Prepare and manage security datasets for machine learning and data science initiatives.
• Maintain data quality, governance, reliability, and platform performance.
• Develop analytics, dashboards, reporting, and automation workflows with cybersecurity teams.
• Optimize data architectures and engineering processes for security use cases.

Required qualifications

• Strong practical experience in data engineering, security analytics, or security data platform development.
• Proficiency in Python, SQL, and modern data engineering frameworks.
• Experience with enterprise data platforms, integration technologies, and API-based architectures.
• Knowledge of security data management, governance, and large-scale data processing.
• Experience supporting machine learning, analytics, or cybersecurity data initiatives.
• Knowledge of graph databases and relationship-based analytics techniques.
• Understanding of threat intelligence, vulnerability management, and security operations.

Preferred experience and certifications

• Experience integrating ServiceNow, Dynatrace, or similar monitoring and ITSM tools is described as desirable.
• Exposure to cybersecurity data lakes, threat intelligence platforms, and graph-based analytics is preferred.
• Google, Databricks, Azure, AWS, ServiceNow, Dynatrace, Neo4j, or related certifications are good to have.