Data Engineering Lead
1 week ago
We are looking for an experienced Data Engineering Lead to lead our data engineering group and drive the design and implementation of our CASM platform's data architecture. The successful candidate will have a strong background in data engineering, experience working with cloud-based technologies, and excellent leadership and communication skills.
The estimated salary for this position is $200,000 - $250,000 per year, depending on location and experience.
Responsibilities:
- Lead the design and implementation of our CASM platform's data architecture, ensuring it meets the needs of our cybersecurity business.
- Develop and maintain expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context.
- Collaborate with cross-functional teams to ensure data security and compliance in a high-stakes cybersecurity environment.
- Mentor engineers in data engineering best practices and promote a culture of collaboration and continuous improvement.
Requirements:
- 10+ years in data engineering with strong skills in Python, PySpark, SQL, and extensive hands-on experience with Databricks and big data frameworks.
- Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes).
- Experience managing large-scale data environments on AWS, optimizing for performance, security, and compliance.
Benefits include a competitive salary, comprehensive health insurance, retirement plan, and professional development opportunities.
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