Data and Splunk Engineer - Officer
State Street Corporation (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and optimization of Splunk searches, dashboards, alerts, and security observability solutions across diverse cybersecurity telemetry.
- Develop and maintain scalable data pipelines using Databricks, Python, SQL, PySpark, and cloud platforms to enable actionable security analytics and machine learning use cases.
- Collaborate with SOC, threat intelligence, and data teams to improve detection readiness, operational analytics, and Splunk platform health monitoring.
Minimum Requirements
- Around 10 years of professional experience in Splunk engineering, security analytics, data engineering, data science, or cybersecurity-related technology fields.
- Bachelor's degree in computer science, IT, data science, statistics, mathematics, engineering, cybersecurity, or equivalent professional experience.
- Proven hands-on expertise with Splunk (including advanced SPL, dashboards, alerts), Python, SQL, PySpark, Databricks, ETL/ELT, and large-scale data processing platforms.
- Experience working with cloud platforms such as AWS or Azure, and familiarity with Git-based version control and CI/CD practices.
Ideal Candidate Profile
- Technically strong individual contributor comfortable balancing hands-on Splunk delivery, data engineering, applied analytics, and cross-team stakeholder communication.
- Experienced in cybersecurity telemetry and observability, familiar with SIEM/SOAR workflows, threat detection, and security data normalization.
- Skilled in integrating Splunk with modern data platforms (Databricks, Delta Lake) and applying machine learning techniques for security analytics and anomaly detection.