Data Engineer (Snowflake)
Core
Build, maintain, and optimize ELT/ETL pipelines and modular semantic models in Snowflake using dbt for a multi-country cloud analytics platform serving consumer financing and financial inclusion across Latin America.
Role type
Mid-level Data Engineer (Snowflake/dbt)
Builds
High-performance, event-driven, multi-country cloud analytics architecture
Domain
Fintech / Consumer Credit / Latin America
Deliverable
production ML models | product features
Required skills
Advanced SQL, Snowflake architecture, dbt, Python scripting, Git version control, CI/CD pipelines, Data Quality Frameworks
Preferred skills
Apache Airflow or Prefect, AWS/GCP/Azure, SnowPro Core Certification, BI visualization tools
Technologies
Snowflake, dbt, Python, Git, Airflow, GCP, AWS, Azure
Responsibilities
Build and optimize ELT/ETL pipelines and semantic models in Snowflake using dbt; Implement automated data quality frameworks and validation checks; Manage Git version control and CI/CD workflows for data transformations; Monitor daily multi-country ingestion and transformation workflows; Collaborate with BI teams and business analysts to translate requirements into scalable data models; Maintain technical documentation, data dictionaries, and lineage standards.
Seniority
Mid-level, hands-on IC