What You'll Do:
Design and implement high-performance, distributed data processing pipelines handling petabytes of security data.
Architect complex data transformations using Apache Spark for large-scale batch and stream processing.
Be part of shaping new products while collaborating with product teams, customers, and sales.
Build and optimize real-time data streaming solutions using Kafka for identity analytics.
Develop and maintain scalable ETL processes that handle billions of daily events.
Create efficient data models for complex security analytics queries.
Collaborate with cross-functional teams to deliver high-impact security features.
Optimize query performance and data storage patterns for large-scale distributed systems.
Participate in system design discussions and architectural decisions.
This position is based in our Tel Aviv, Israel office and requires strong leadership presence and ability to work closely with cross-functional teams.
What You'll Need:
5+ years of experience in data engineering or similar roles.
Strong programming skills in Go and/or Java.
Extensive experience with big data technologies (Apache Spark, Kafka).
Proven track record working with distributed databases (Cassandra, Elasticsearch).
Experience building and maintaining production-grade data pipelines.
Strong understanding of data modeling and optimization techniques.
Excellent problem-solving skills and attention to detail.
BS/MS in Computer Science or related field, or equivalent experience.
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus Points:
Experience with identity and access management concepts.
Knowledge of security analytics and threat detection.
Contributions to open-source projects.
Experience with cloud platforms (AWS, GCP, Azure).
Background in cybersecurity or security analytics.
