Senior SIEM Data Engineer
Quincy, Massachusetts, United States
HKD 680K-1445K Senior-level Full Time
Tasks
- Analyze log formats and define onboarding requirements
- Automate deployment monitoring alerting and pipeline testing
- Build and optimize telemetry parsing filtering masking enrichment and normalization
- Create onboarding standards field mappings and runbooks
- Design and support Databricks data engineering layers
- Design scalable SIEM and security telemetry pipelines
- Establish SIEM onboarding standards and taxonomy alignment
- Implement CI/CD and Infrastructure as Code
- Lead security telemetry onboarding
- Mentor engineers and drive operational maturity
- Provide production support and root cause analysis
- Reduce telemetry noise and optimize ingestion cost
- Route telemetry to Splunk and Databricks
- Troubleshoot ingestion and data flow issues
- Validate security telemetry data quality
Perks/Benefits
Skills/Tech-stack
Automation | Batch Ingestion | CI/CD | CIM ECS | Cause analysis | Cribl Stream | Data Enrichment | Data Lakehouse | Data Layering | Data Normalization | Data Quality | Data Routing | Data Validation | Data masking | Databricks | Deduplication | Event Breaking | HEC | Infrastructure as Code | Kafka | Log Ingestion | Log Parsing | Metadata Management | Metadata tagging | Partitioning | PySpark | Python | REST APIs | Root Cause Analysis | Root cause | SIEM | SPL | SQL | Schema Design | Security telemetry | Shell Scripting | Spark SQL | Splunk | Streaming Ingestion | Syslog | Telemetry Monitoring | Transformation | “as-code”
Education
Regions
Countries
States
Cities
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