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Tier-1 employer and mid-level title increase competition, but security+ETL specialization reduces applicant density.
Security skills are transferable, but banking regulatory and US-banking experience preference raises domain specificity.
Explicit 4+ years plus required security and data-engineering tech stack increases screening rigor.
Lead or participate in incident response and digital forensics for security events to identify causes and mitigation strategies.
Design, document, test, maintain, and resolve issues in security solutions across networking, cloud, authentication, email, endpoints, and cryptography.
Develop, maintain and optimize ETL pipelines and data processing workflows using SQL, Python, and PySpark for reporting and analytics platforms.
4+ years of Information Security Engineering experience or equivalent demonstrated through work experience, training, military, or education.
Experience with incident response, digital forensics, security solutions design and maintenance, and ETL development using SQL, Python, PySpark.
Bachelor's or Master's degree in relevant Technology or Security discipline is desired but not explicitly mandatory.
Notice period: Not explicitly mentioned in the JD.
Experienced in managing moderately complex security incidents and conducting risk assessments and remediation in financial or similarly regulated environments.
Skilled in ETL development, data wrangling, and optimization of large-scale data pipelines with Python, PySpark, and SQL in enterprise environments.
Capable of coordinating multiple deliverables under tight timelines, working cross-functionally with data engineers, BI developers, and stakeholders, with exposure to technology consulting or US banking sector preferred.