Data Engineer II - SRE

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products.
• Structure software for easy understanding, testing, and evolution.
• Build solutions that avoid single points of failure using scalable architectural patterns.
• Develop secure code to protect our customers and ourselves from malicious actors.
• Promptly investigate and fix issues, ensuring they do not resurface.
• Ensure releases happen with zero downtime for end-users.
• Optimize data writing and reading for our needs.
• Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns.
• Support products through their entire lifecycle, including production and incident management.

Required qualifications, capabilities and skills

• Formal training or certification in Public Cloud engineering concepts and 5+ years of applied experience.
• Excellent programming skills, ideally in Python or another modern programming language.
• Understanding of Agile methodologies, Applicant Resiliency, and Security.
• Experience with Public Cloud services in Production (AWS or other).
• Hands-on experience with big data technologies (e.g. Redshift, EMR)
• Comprehensive understanding of modern data platforms, including data governance and observability.
• Self-starter capable of delivering production-ready solutions with minimal supervision.
  • Solid theoretical fundamentals in a wide range of topics, which could include database internals, distributed systems, and design patterns.