Splunk / Cribl Engineer - Cybersecurity Engineering (Hybrid)
BioSpace · North Chicago, IL · Yesterday
Information TechnologyFull-time
Responsibilities
- Data Pipeline Development
- Data Transformation & Normalization
- Data Modeling & Architecture
- Data Integrity & Lineage
- Development & Integration
- Testing & Quality Assurance
- Data Management Operations
- Analytics Toolsets
- Metrics Automation
Qualifications
- Bachelor's Degree with 5 years' experience; or Master's Degree with 4 years' experience
- Experienced in writing and optimizing Splunk’s Search Processing Language (SPL)
- Proven ability to administer Splunk Enterprise and onboard data sources
- Experience building and configuring data pipelines
- Experience with regular expressions and parsing unstructured data
- Deep understanding of data administration and data standardization policies
- Knowledge of database management systems, query languages, table relationships, and views
- Experience in validating data sets and calculations
- Ability to work both independently without direction and within a group for day-to-day activities
- Capable of learning new concepts and processes quickly and adapting to a constantly changing environment
- Experience with CI/CD Pipelines and Git
- Experience with database & system integration technologies
Preferred
- Splunk Certified Admin, Power User, or Architect certification
- Prior experience working in an Agile team
- Familiarity with cybersecurity, privacy principles, cyber threats, and vulnerabilities
- Prior experience working with ETL in a SIEM environment (ELK, Splunk, Exabeam, etc.)
- Experience working with development tools and scripting languages (Python / PowerShell / Go)
- Experience analyzing and pivoting on large sets of data, with the ability to identify patterns, anomalies, and outliers
- Cribl Certified User, Admin Stream, or Engineer
- Demonstrated experience in log analysis and parsing of unstructured data (ETL)