Data Engineer

Are you passionate about technology and enjoy explaining complex solutions in a way that everybody gets excited? If so, read on!
About Picus
Picus Security, the leading security validation company, gives organizations a clear picture of their cyber risk based on business context. Picus transforms security practices by correlating, prioritizing, and validating exposures across siloed findings so teams can focus on critical gaps and high-impact fixes. With Picus, security teams can quickly take action with one-click mitigations to stop more threats with less effort.
The Picus Security Validation Platform easily reaches across on-prem environments, hybrid clouds and endpoints coupled with Numi AI to provide exposure validation. 
The pioneer of Breach and Attack Simulation, Picus delivers award-winning threat-centric technology that allows teams to pinpoint fixes worth pursuing, offering a 95% recommendation in Gartner Peer Review.
About The Role
If you’re a results-driven person with an entrepreneurial mindset, who takes the initiative and thrives in a dynamic environment, then this is a great opportunity to play a pivotal role in a fast-growing cyber security company. 
As Data Engineer you will contribute to designing, developing, and maintaining data pipelines as well as AI models, and graph database systems. This role offers an exciting opportunity to work on both data engineering and AI initiatives while fostering growth in these fields.

What You'll Do

• Design, construct, test, and maintain data management systems
• Develop and maintain scalable data pipelines, processing systems, AI model workflows, and graph database schemas
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
• Troubleshoot performance bottlenecks and ensure data quality and integrity
• Support the design and implementation of data pipelines, processing systems, and AI model workflows
• Aid in the development, training, and evaluation of AI models under the guidance of senior team members
• Contribute to data preprocessing and feature engineering tasks crucial for AI model training
• Assist in deploying AI models and integrating them into existing systems

What You Have

• BS or MS degree in Computer Science, Engineering or similar field
• Proficiency in programming languages, especially Python, for data engineering, AI model development, and graph database management
• Interest in AI and machine learning concept
• Eagerness to learn data pipeline tools and cloud-based data technologies
• Familiarity with machine learning frameworks
• Excellent teamwork and communication skills
• Strong analytical skills and excellent problem-solving abilities
• Humble, friendly, adaptive, result-oriented personality