Data Engineering Manager

Responsibilities: Lead and mentor a team of data engineers to build and scale critical distributed data platforms. Define the strategic vision for data processing systems while collaborating with product and engineering stakeholders to ensure scalable solutions.

Requirements: Requires over 7 years of experience managing engineering teams with strong technical expertise in modern data engineering and distributed systems. Proficiency with tools like Airflow, Docker, and Kubernetes is required, with a plus for experience in cybersecurity data.

Key skills: Technical Leadership, People Management, Distributed Data Systems, Data Architecture, Airflow, Elastic Stack, Docker, Kubernetes, Cloud Platforms, Agile Development, Strategic Vision, Performance Optimization

Keywords: Data Engineering, Distributed Systems, Airflow, Elastic Stack, Docker, Kubernetes, Cloud Platforms, Agile, Cybersecurity Data, Threat Detection, Threat Intelligence, Industrial Security, Data Architecture, Scalability, Technical Leadership, People Management