Data Engineer (Snowflake)

About the Position

Are you ready to shape the future of fintech with cutting-edge technology and deep regional impact?

Join us as a Data Engineer (Snowflake) and help power our next-generation platform for multi-country cloud analytics and consumer financing, transforming the way financial inclusion and credit solutions are delivered to thousands of end users and merchant partners across countries in Latin America.

Responsibilities

• Decoupled Data Modeling: Build, maintain, and optimize ELT/ETL pipelines and modular semantic models in Snowflake using dbt as the mandatory transformation standard.
• Automated Data Quality & Testing: Implement and enforce Data Quality Frameworks (e.g., dbt tests, automated validation checks) to guarantee high data integrity, freshness, and accuracy across staging, intermediate, and data mart layers.
• Version Control & CI/CD Enforcement: Ensure all data transformations and Python scripts are fully version-controlled in Git and integrated into CI/CD workflows, completely eliminating unversioned or isolated local script execution.
• Platform Operations & Monitoring: Assist in resolving operational incidents in data pipelines and monitor daily multi-country ingestion and transformation workflows.
• Cross-Functional Collaboration: Partner closely with Senior Data Engineers, BI teams, and business analysts to translate business requirements into scalable, well-documented data models.
• Technical Documentation: Maintain comprehensive technical documentation, data dictionaries, lineage, and cataloging standards within the data platform.

Requirements

• Education: Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• Experience: 3+ years of hands-on experience in data engineering, data warehousing, or software engineering.
• Core Technical Stack:
  • SQL
  • Python
  • dbt
  • Snowflake
  • Airflow
  • CI/CD pipelines
  • cloud environments (GCP/AWS/Azure)
• Software Engineering Best Practices
• Collaboration & Soft Skills: Strong analytical skills, attention to detail for anomaly detection, and a collaborative mindset for multi-country, cross-functional projects.
• Language Skills: Technical proficiency in English for documentation and technical stack navigation; clear written and verbal communication skills.

Nice to Have

• Experience with orchestration platforms (Apache Airflow or Prefect).
• Hands-on knowledge of at least one major cloud platform (AWS, GCP, or Azure).
• SnowPro Core Certification.
• Prior experience in Fintech, Banking, Consumer Credit, or E-commerce industries.
• Familiarity with BI visualization tools (Power BI, Tableau, Looker).

We Offer

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

not applicable for freelancers

About the Company

We are a fast-growing multinational financial technology (Fintech) leader transforming financial inclusion and consumer credit across Latin America. We build innovative financing solutions.

We are currently undergoing a major regional data platform modernization, constructing a high-performance, event-driven, multi-country cloud analytics architecture. We seek a motivated Data Engineer with 1–3+ years of technical experience who thrives in modern data stack environments-balancing hands-on engineering with data quality standards, collaborative execution, and disciplined software development practices.