Data Scientist

• Lead the evolution of a production data platform built around dbt, Apache Airflow, Amazon Redshift, Python, and AWS
• Take ownership of the platform's architecture, reliability, and data quality
• Design, operate, maintain, and evolve production data platforms and modern data warehouse architectures
• Develop and maintain software solutions across a varied technology stack
• Navigate, troubleshoot, and improve complex dbt projects with hundreds of models and thousands of automated tests
• Design and manage Apache Airflow DAGs, operators, task groups, sensors, variables, connections, and SLAs
• Optimize Amazon Redshift schemas, distribution and sort strategies, query performance, and warehouse costs
• Build and maintain ingestion processes
• Manage data infrastructure through Terraform
• Provide technical leadership, documentation, architecture knowledge, and knowledge transfer
• Maintain and evolve a complex, business-critical data ecosystem

Data Scientist jobs in Latin America

Data Lead