Analytics Engineer (SQL/dbt/Snowflake/Python)

Role overview

Develop dependable, reusable analytics products for a large-scale financial technology data platform. You will turn complex source data into well-structured models that serve business needs, while helping evolve capabilities in automation, AI, and generative business intelligence.

Responsibilities - Design, build, and maintain scalable analytical models using SQL and dbt. - Create reusable data products and organize transformations into clear modeling layers. - Apply dimensional modeling practices to make information consistent and useful for analysis. - Improve query, processing, and storage efficiency with attention to performance and cost. - Use DataOps practices, including Git version control, code review, and CI/CD pipelines. - Establish automated tests, data quality controls, monitoring, and observability for data workflows.

Requirements - Senior experience in analytics engineering and strong SQL and dbt skills. - Background with cloud analytics architectures and Python. - Knowledge of dimensional modeling, transformation design, and data quality practices. - Experience with Git-based collaboration, code reviews, and CI/CD. - Ability to make technical decisions and build data solutions around business requirements.

Benefits and work setup

Remote, full-time employment in Argentina, with occasional in-person meetings in Córdoba or Buenos Aires. The source describes four openings.