Python Scala Developer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Strong proficiency in Python R and SQL for large scale data processing and analysis.
Deep understanding of security and vulnerability standards including CVE CVSS CWE and NIST frameworks.
Experience in automation of API based systems and data integration workflows.
Proficiency in working with vulnerability databases threat intelligence feeds and security data repositories.
Experience with data visualization tools including Tableau Power BI matplotlib and seaborn.
Strong foundation in statistical methods hypothesis testing and experimental design.
Knowledge of network discovery protocols and OT IT network architectures.
Understanding of asset description norms formats and industrial control system Knowledge
Understanding of operational technology environments industrial control systems SCADA and OT specific vulnerabilities.
Experience with vulnerability assessment processes threat modeling and risk prioritization.
Knowledge of cybersecurity frameworks and standards including ISO 27001 NIST and IEC 62443.
Understanding of threat intelligence feeds indicators of compromise and threat landscape and Soft Skills
Ability to collaborate with diverse teams including PCERT BSI customers product owners experts and standardization organizations.
Excellent written and verbal communication skills to present complex data insights to technical and non technical audiences.
Ability to work effectively in global distributed teams across different time zones.
Flexibility to adapt to evolving security threats and changing regulatory requirements.
Ability to manage multiple data analysis projects simultaneously and meet Qualifications
Relevant cybersecurity certifications such as CISSP CISM CEH or data science certifications.
Previous experience in industrial cybersecurity critical infrastructure protection or OT environments.
Experience in security research vulnerability research or academic publications in cybersecurity.
Experience with cloud based data analytics platforms such as AWS Azure or Google Cloud.
Knowledge of machine learning techniques applied to cybersecurity use cases.