Principal Cybersecurity Data Engineer
Tasks
- Architect ingestion pipelines for security telemetry
- Design enrichment and semantic layers
- Develop automated orchestration and data validation
- Enable advanced analytics for security operations
- Ensure telemetry reliability and chain of custody
- Implement data observability and data quality checks
- Mentor engineers and standardize modern engineering practices
- Redesign data onboarding and pipeline architecture
- Scale real time ingestion for high velocity feeds
- Structure security data for AI enabled detection
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | CI/CD | Cloud Native | Cloud Native Architecture | DBT | Data Lakehouse | Data Modeling | Data Observability | Data Quality | Databricks | Go | Python | SQL | Scala | Semantic layer | Snowflake | Streaming Data | Version control
Education
N/A
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