Data Engineer

A cybersecurity startup focuses on AI and Big Data-driven solutions designed to handle massive volumes of alerts and vulnerabilities. Their platform provides asset management tools that help security teams process large-scale data, reduce noise, prioritize findings, and manage alerts efficiently.

The system operates in both SaaS and On-Prem environments.

Currently in stealth mode, they are at the demo stage with active customers. The company raised a significant funding round about a year ago and is now experiencing substantial growth.

Based in Tel Aviv (near train stations), the team consists of 13 people, including 7 in R&D.

The role:

• As part of a two-person Data team, working with Python, you will be responsible for designing, building, and maintaining complex Data Engineering solutions.
• The work involves technologies such as Python, ETL, MySQL, Elasticsearch, MongoDB, Snowflake, Kubernetes, AWS, and Azure.
• Key challenges include developing efficient and flexible Data Ingestion systems, working with diverse data types and sources, and implementing innovative solutions in Data Engineering and Cybersecurity.

Requirements:

• 5 years of experience in Data Engineering
• Strong proficiency in Python
• Experience working in Cloud environments (AWS/Azure)
• Hands-on experience with ETL processes, Data Ingestion, and Big Data pipelines
• Experience with databases such as MySQL, MongoDB, Elasticsearch, and Snowflake