Senior Data Engineer

Company Description

Hypernative protects digital asset managers, protocols, and Web3 applications from zero-day cyber threats, economic and governance risks, and significant losses. Our proprietary "pre-cog" platform monitors on and off chain data sources to accurately predict threats before they impact, leveraging machine learning models. Hypernative has successfully detected numerous exploits and helped prevent substantial losses for our customers.

Role Description

This is a full-time hybrid role for a Senior Data Engineer based in Herzliya, with some work from home acceptable. The Senior Data Engineer will focus on designing, building, and maintaining data pipelines, data modeling, and ensuring efficient data storage and retrieval processes. Daily tasks will include working on Extract Transform Load (ETL) processes, developing data warehousing solutions, and performing data analytics to support strategic business insights.

Qualifications

• Proficient in Data Engineering, Data Modeling, and Extract Transform Load (ETL) processes
• Experience in designing and implementing Data Warehousing solutions
• Strong skills in Data Analytics and deriving actionable insights
• Excellent problem-solving and analytical thinking skills
• Ability to work independently as well as in a collaborative team environment
• Bachelor's degree in Computer Science, Information Systems, or a related field
• Experience in machine learning and cybersecurity is a plus
• Strong communication skills, both written and verbal