Senior Data Engineer

Are You Ready to Revolutionize Cloud Incident Response?

Mitiga is a well-funded cybersecurity SaaS company with a unique people-first culture and some of the brightest minds in the industry.

Mitiga was created with the belief that cyber-attacks cannot be 100% prevented, so we identified the need for incident readiness and quick incident response, mainly in cloud environments. With our unique, cutting-edge technology, we lower the impact of cyber breaches and accelerate post-incident response and recovery. In other words, we help businesses get back to business fast.

Drive the Next Wave of Cloud Security

Mitiga's core development team in Tel Aviv brings together elite security experts, business leaders, and technical innovators, working in synergy with our global teams and enterprise clients.

We're seeking a Senior Data Engineer to architect and develop sophisticated data solutions using advanced Spark, PySpark, and Databricks implementations in our mission to transform the cyber-security breach readiness and response market.

What You’ll Do

Join us in crafting cutting-edge solutions for the cyber world using Spark/PySpark ETLs and data flow processes. Dive into the realm of multi-Cloud environments while collaborating closely with investigators to fine-tune PySpark performance. Harness the power of top-notch technologies like Databricks to elevate our technical projects, scaling them for efficiency. Embrace innovation as you research and implement new techniques. Evolve with us as a key member of the Mitiga R&D team.

Technical Impact

• Design and implement complex data processing architectures for cloud security analysis
• Optimize and scale critical PySpark workflows across multi-cloud environments
• Develop innovative solutions for processing and analyzing massive security datasets
• Drive technical excellence through sophisticated ETL implementations
• Contribute to architectural decisions and technical direction
  
  

• Build robust, scalable data pipelines for security event processing
• Optimize performance of large-scale PySpark operations
• Implement advanced data solutions using Databricks and cloud-native technologies
• Research and prototype new data processing methodologies
• Provide technical guidance and best practices for data engineering initiatives
  
  

• 5+ years of hands-on data engineering experience in cloud-based SaaS environments
• Deep expertise in PySpark, Python, and SQL optimization
• Advanced knowledge of AWS, Azure, and GCP cloud architectures
• Proven track record implementing production-scale data systems
• Extensive experience with distributed computing and big data processing
• Strong collaboration skills and technical communication abilities
  
  

• Experience with security-focused data solutions
• Deep expertise with Splunk and AWS services (S3, SQS, SNS, Stream)
• Advanced understanding of distributed systems
• Strong Linux systems knowledge
• Experience with real-time data processing architectures
  
  

• Location: IL, TLV
• Hybrid work environment
• Competitive compensation package.