Analyst, SIEM, Information Security

Edwards Lifesciences — India-Pune

Edwards Lifesciences is expanding its global technology capabilities with the launch of a new IT Innovation Hub in Pune, India. The Hub strengthens the technology foundation that supports our business worldwide, working in close partnership with teams across regions to deliver reliable, high-quality solutions at scale. Designed as a long-term investment, the Pune Hub will advance newer digital capabilities such as automation, data, AI, and cloud, and will include roles spanning end user services, application development, and enterprise platform teams. As an Edwards Analyst for Information Security, you will contribute with protecting Edwards organization, applications, and products by supporting SIEM and forensics operations. Ideal candidates bring hands-on experience in data source onboarding, parser development and log normalization. If you have an innovative mindset and a strong desire to address security challenges through scalable SIEM engineering — this role is for you. How will you make an impact: Support SIEM data engineering operations by maintaining and operating log ingestion pipelines from cloud, on-prem, and SaaS sources into the SIEM platform Develop and tune field extraction rules, parsers, and normalization logic (regex, Grok, CEF/LEEF, OCSF, ECS) to keep data well-structured and queryable Assist with onboarding new data sources: connector configuration, schema mapping, field normalization, and data validation Monitor and improve data quality, completeness, and field consistency to support detection engineering use-case coverage Apply log volume and data routing policies (tiering, filtering, sampling) to support data cost optimization and pipeline health Maintain data source inventory and normalization coverage documentation to support detection engineering and audit requirements Troubleshoot data ingestion, parsing, and normalization issues, escalating complex platform changes to senior SIEM engineers Stay informed on evolving log sources and data f

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