Kizen is looking to solve real operational problems and help the world's most complex organizations work faster, smarter, and more humanely by building technology that makes AI actually work for people.
Requirements
- 5+ years of cloud-based, high-level experience focused on modeling, building, and maintaining production-grade data solutions
- Strong proficiency in at least one of: JavaScript/TypeScript, Python, Go, or other modern programming languages
- Advanced knowledge of SQL, database design, and data transformation techniques
- Strong understanding of authentication mechanisms (OAuth, API keys, JWT) and API security best practices
- Experience with containerization (Docker) and container orchestration (Kubernetes)
- Familiarity with CI/CD pipelines and automated deployment processes
- Solid understanding of software design patterns and architectural principles
Responsibilities
- Design, develop and deploy efficient data pipelines and ETL processes with modern software engineering practices
- Ensure data integrity and quality by implementing robust data validation, schema checks, and error-handling mechanisms to prevent data corruption and maintain reliability.
- Serve as a technical steward by continuously optimizing data performance and resource utilization to ensure maximum cost-effectiveness and system speed.
- Write clean, maintainable code for complex data transformation workflows between disparate systems
- Optimize existing pipelines for performance, security, and maintainability
- Collaborate with the engineering team in code reviews and architectural decisions
- Create technical documentation for data specifications
Other
- Bachelor's degree in Computer Science or related field
- 5+ years of experience in a related field
- Ability to work in a fast-paced environment
- Excellent communication and collaboration skills
- Ability to work in a hybrid environment (4 days in office)
