Booz Allen Hamilton is a leading consulting firm specializing in technology solutions. They are seeking a Data Analytics Platform Engineer to help clients organize and analyze data from various sources, contributing to mission-driven projects including fraud detection and cancer research.
Responsibilities:
- Help our clients find answers in their data to impact important missions
- Build advanced technology solutions and implement data engineering activities
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
- Manage the assessment, design, building, and maintenance of scalable platforms for your clients
Requirements:
- 3+ years of experience with data lake or analytics platforms such as Cloudera, Apache Iceberg or Snowflake
- Experience designing data pipeline architectures for security operations, including log collection, normalization, enrichment and routing
- Experience with defensive cyber operations, cybersecurity engineering or security platform architecture
- Experience with Windows or Linux administration activities
- Knowledge of architecting detection engineering pipelines, threat hunting workflows or automated response capabilities
- Knowledge of managing and administrating Apache Flink, Hue, Hive or Zepplin
- Knowledge of deploying platforms across cloud, on-premises and disconnected environments using Kubernetes or OpenShift
- Knowledge of Zero Trust principles, DoD and IC Cybersecurity frameworks and federal compliance standards
- TS/SCI clearance
- HS diploma or GED
- Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash or Fluentd
- Experience with threat detection or anomaly-based behavioral analysis
- Experience with DevSecOps CI/CD pipelines in IL5, IL6 or IL7 environments
- Experience with Python or scripting languages for security automation