Data Engineer (Tech-lead) - 1894

Requisitos

• Language Mastery: Advanced proficiency in Python, SQL, and Bash for complex data processing and scripting
• Data Stack Expertise: Deep experience with Snowflake as a primary data warehouse and dbt for robust transformations
• Orchestration Excellence: Hands-on experience with Apache Airflow for managing and monitoring sophisticated data workflows
• DevOps Proficiency: Practical knowledge of containerization and CI/CD tools, specifically Docker, Kubernetes, and GitLab
• Leadership Experience: A proven track record in System Architecture and Team Leadership/Management

Desejáveis

• Application UI: Experience building interactive data applications and dashboards using Streamlit
• Data Quality: Specific experience in building automated systems focused on data validation and quality generation
• Product Vision: Demonstrated ability to have shipped multiple data-centric products in a fast-paced environment