Data Engineer at R2 building systems for financial opportunities for SMBs in Latin America. Design and maintain data pipelines with robust ingestion processes.
Responsibilities
Design and maintain data pipelines, ELT processes, and data warehouse
Create robust ingestion pipelines with partners
Build processes for optimal data extraction, transformation, and loading
Maintain documentation of data architecture and processes
Implement data models in the data warehouse
Automate tasks with a robust data orchestration system
Build integration components across platforms
Ensure data integrity with alert setups
Requirements
5+ years working in Python
Experience with ELT patterns (e.g., Airbyte, Fivetran)
Comfortable with data orchestration systems (Airflow, Astronomer, Dagster)
Expert in SQL and data modeling
Experience with data modeling and transformation tools (e.g., dbt)
Proficient in git-based version control
Experience in architecture and design of data processing systems
Collaborated with analysts, data scientists, and ML engineers
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