Job Description Security Engineer Data Automation
Job Description Security Engineer Data Automation
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Job Description
At Iron Mountain we know that work when done well makes a positive impact for our customers our employees and our planet. Thats why we need smart committed people to join us. Whether youre looking to start your career or make a change talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert sustainable solutions in records and information management digital transformation services data centers asset lifecycle management and fine art storage handling and logistics. We proudly partner every day with our 225000 customers around the world to preserve their invaluable artifacts extract more from their inventory and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions If so lets start the conversation.
Job Description: Security Engineer Data & Automation
Location: Remote India
Job Type: FullTime
Department: Information Security / Security Engineering
Job Summary
We are seeking a Security Engineer with a strong background in Python development and data engineering to support security operations through automation data management and visualization. The ideal candidate should have a basic understanding of security concepts and experience working with data lakes (Google BigQuery AWS Athena Tableau) data integrations Spark jobs and dashboarding tools (Looker Tableau).
This role involves developing securityfocused data pipelines integrating multiple data sources and creating insightful security dashboards to help teams make datadriven security decisions.
Key Responsibilities
1. Security Data Engineering & Integration
Develop data pipelines and integrations between security tools data lakes and visualization platforms.
Work with Google BigQuery AWS Athena and other data lakes to structure and manage securityrelated data.
Optimize data ingestion and transformation workflows for efficient security analysis.
2. Security Automation & Python Development
Build Pythonbased automation scripts to process clean and analyze security data.
Develop Spark jobs for handling largescale security data processing.
Automate threat intelligence ingestion event correlation and anomaly detection workflows.
3. Security Insights & Dashboard Development
Create and maintain security dashboards using Looker Tableau or similar tools.
Develop realtime and historical security analytics to support security teams.
Provide security insights by identifying trends unusual activity and operational gaps.
4. Collaboration & Continuous Improvement
Work closely with Security Operations Threat Intelligence and Data Science teams to improve security visibility.
Stay updated on emerging security data trends cloud security and automation best practices.
Optimize security data pipelines to ensure high availability and scalability.
Qualifications & Skills
Required:
3 Python programming experience with a focus on data processing and automation.
Experience working with data lakes such as Google BigQuery AWS Athena or Snowflake.
Knowledge of Spark jobs for largescale data management.
Handson experience in creating dashboards and visualizations using Looker Tableau or similar tools.
Understanding of basic security concepts (SIEM threat intelligence security monitoring).
Strong problemsolving and analytical skills for handling securityrelated data.
Preferred:
Experience with cloud security tools (Google Security Command Center AWS Security Hub etc..
Familiarity with log management and SIEM platforms (Splunk Chronicle etc..
Knowledge of SQL Pandas and other data manipulation frameworks.
Exposure to machine learning for security analytics (optional but a plus).
Employment Type
Full-Time
