REQUIREMENTS
- 3+ years of experience as a Data engineer
- Proven experience with Snowflake, DBT, Python, and AWS
- Ability to work autonomously in a fast-paced startup setting
- Strong communication skills and a collaborative spirit
- Solid understanding of CI/CD practices and containerized workflows
- Experience with GoLang for backend or tooling tasks (nice to have)
- Familiarity with Terraform for infrastructure-as-code (nice to have)
- Upper-Intermediate level of English
RESPONSIBILITIES
- Design, implement, and optimize data pipelines using DBT, Snowflake, and Python
- Own and manage cloud infrastructure components in AWS for scalable data workflows
- Take initiative in MLOps and DevOps tasks - since we currently don’t have a dedicated DevOps team
- Collaborate across functions to ensure reliable and efficient deployment of ML models and data systems
- Establish observability and alerting frameworks for data pipelines
- Champion best practices in code quality, documentation, and version control
- Participate in architecture decisions and continuous improvement of our data stack