Principal Data Engineer
Skills
- Proficient Python programming with 5+ years experience
- Experience with message buses such as Kafka or RabbitMQ
- Familiarity with MongoDB, graph databases (AWS Neptune, Neo4j), and ElasticSearch
- Development of REST APIs using Python frameworks like Flask, Django, or FastAPI
- Experience in cloud computing environments
- Background in ML model productization and statistical analysis
- Strong technical leadership and communication skills
- Problem solving and debugging expertise for software and data pipelines
Responsibilities
- Identify, scope, and own technical solutions for data convergence in the Security Intelligence Graph
- Align, analyze, and ingest asset maps into the Security Intelligence Graph
- Develop, productize, monitor, and maintain scalable data pipelines
- Build tools and APIs for accessing data and analytics from the intelligence graph
- Analyze data patterns to inform critical business decisions
- Create and execute technical project plans in collaboration with Product and development teams
- Collaborate with Data Scientists, Data Engineers, and business leaders to define technical solutions
Education
- Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
Benefits
- Diverse and inclusive work environment with over 40 nationalities represented
- Opportunity to work with leading fortune 100 companies clients
- Engaging in cutting-edge cyber threat intelligence and data engineering
- Supportive culture focused on continuous learning and knowledge sharing
- Equal opportunity employer with strong ethical values
Average salary estimate
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