Security Analyst

Overview

Security Automation Engineer I role in Finastra's Cybersecurity Governance Office, building Python-based automation, data pipelines and Power BI reporting that integrate data from multiple security tools to give visibility into control effectiveness and risk posture.

What you'll do

• Build automation and reporting solutions based on defined business and technical requirements across Cybersecurity teams
• Develop and maintain Python-based security automation and integration code
• Query APIs and ingest data from multiple sources including security tools, databases, and structured files (JSON, XML, CSV, Excel), and normalize into reusable, consistent data models
• Design, build, and maintain structured databases (e.g., SQL) to support scalable data storage and retrieval
• Develop automated data ingestion pipelines using Python to collect, transform, and load data from sources such as files, SharePoint, and APIs into structured databases
• Design and support reporting architecture that produce clear, decision-ready security insights
• Deliver Power BI reporting as a standard component of solutions
• Integrate automation and reporting solutions into Microsoft-centric platforms, including SharePoint and Fabric-based data services
• Use GitHub effectively for source control, branching strategies, pull requests, code reviews, and documentation
• Collaborate directly with senior engineers and cybersecurity stakeholders to clarify requirements, scope, and constraints
• Manage multiple parallel work streams and proactively communicate progress, risks, and dependencies through written updates and lightweight tracking
• Ensure all solutions are reliable, maintainable, and easy for other engineers to adopt without rework or tribal knowledge

What you'll need

• Strong programming experience in Python
• Proven ability to build Power BI reports independently from existing data sources
• Experience connecting Power BI to structured data sources, including SQL databases and APIs, through governed data pipelines
• Experience working with REST APIs and structured data formats
• Strong working knowledge of SQL, including schema design, data modeling, and query optimization for analytical use cases
• Experience building and maintaining data pipelines that move and transform data from raw sources into structured, reliable datasets
• Hands-on experience building automation such as schedulers, routines, or integrations
• Ability to translate problem statements into engineered solutions with guidance
• Strong written communication skills for documentation and status updates
• Ability to manage time effectively across multiple parallel assignments

Nice to have

• Azure DevOps experience (Boards, Repos, Pipelines) is a strong advantage
• Degree in Computer Science, Software Engineering, Data Science, or equivalent experience
• Experience integrating or analyzing data from security or enterprise technology platforms
• Familiarity with enterprise security practices or cybersecurity environments
• Exposure to generative AI, prompt engineering, or LLM-based solutions

Details

• Location: Bengaluru
• Hybrid working arrangements