DataOps Lead

Key Responsibilities:

• Audit clients’ IT infrastructure, identifying assets, analyzing vulnerabilities, and assessing associated impacts and threats.
• Provide risk-based recommendations for addressing identified vulnerabilities based on criticality and potential impact to the business.
• Implement data security and governance strategies across infrastructure components, ensuring compliance with industry standards and regulations.
• Create and maintain continuous integration (CI) and continuous deployment (CD) pipelines for data processes and infrastructure.
• Monitor data infrastructure performance, identify bottlenecks, and ensure high availability and resilience.
• Ensure that all data systems comply with information security standards, conducting regular vulnerability assessments.
• Collaborate with clients and stakeholders, delivering clear communication about identified vulnerabilities, threats, and recommended risk mitigation strategies.
• Work on mitigating technical risks by prioritizing and addressing high-impact vulnerabilities and implementing security patches, configuration changes, or design modifications.
• Conduct IT infrastructure audits to identify assets, associated vulnerabilities, and potential threats.
• Analyze the impact and severity of each vulnerability, prioritizing risks based on potential business impact and criticality.
• Develop risk mitigation strategies and provide clients with actionable recommendations to address high-priority risks.
• Implement and maintain security controls within the data pipeline and IT systems to minimize exposure to threats.
• Conduct regular vulnerability assessments and create reports to track risk management efforts and progress.
• Advise clients on best practices for securing their infrastructure and data, ensuring compliance with security regulations (GDPR, HIPAA, etc.).

Required Skills:

• Experience managing data pipelines using Java with tools like Apache Kafka, Apache Spark, or similar technologies.
• Familiarity with Java with a fair understanding of object-oriented programming (OOP) and system architecture.
• Familiarity with databases (SQL, NoSQL), data lakes, and distributed data systems.
• Hands-on experience with DevOps practices like CI/CD, infrastructure as code, and automation tools.
• Experience with containerization (Docker) and orchestration platforms such as Kubernetes.
• Familiarity with cloud platforms (AWS, Azure) and their security and risk management tools (e.g., AWS Inspector, Azure Security Center).
• Strong knowledge of vulnerability management frameworks and tools (e.g., Nessus, Qualys, OWASP).
• Experience with security patch management, configuration auditing, and IT asset management systems.
• Familiarity with threat modeling, risk assessment methodologies, and mitigation strategies based on criticality.
• Strong understanding of IT risk management, including the ability to identify threats, assess impact, and recommend appropriate mitigation strategies.

Nice to Have:

• Experience with data security frameworks and regulatory compliance (GDPR, CCPA).
• Understanding of DataOps frameworks and principles, including observability and monitoring of data pipelines.
• Exposure to message brokers like RabbitMQ, ActiveMQ, or similar technologies.
• Experience in automation frameworks for testing data flows and pipelines.
• Prior experience with big data technologies (Hadoop, HDFS) would be an added advantage.
• Hands-on experience with security tools like Nessus, Splunk, or Qualys.
• Knowledge of incident management, disaster recovery, and business continuity planning.
• Experience in developing automated scripts to track and remediate vulnerabilities.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• years of experience in Java development and data-related projects.
• Strong problem-solving skills and ability to work independently as well as in a team.

Place of work