Job Summary: We are seeking a Data Engineer for an Argentine fintech company to deliver data-driven solutions that optimize manual processes and facilitate the implementation of new processes. Key Highlights: 1. Advanced data model design and development (Snowflake, Databricks) 2. Data extraction from diverse sources (APIs, Relational/Non-Relational Databases) 3. Identification of architectural improvements and reusable functions We are looking for a **Data Engineer** to join a major Argentine fintech. The person filling this role will primarily deliver data-driven solutions to optimize time and effort spent on manual processes, as well as facilitate the implementation of new processes. **Work Mode:** 100% remote Let me tell you more about this opportunity! #### **Responsibilities:** * Design data models (Snowflake). * Develop data models using Databricks notebooks (SQL, Python, Scala). * Design data extractions from various sources (APIs, Relational Databases, Non-Relational Databases, Files, etc.). * Identify repetitive patterns and propose reusable functions. * Identify proposals for improving the solution architecture. #### **Requirements:** * Experience in cloud architecture, preferably Azure. * Advanced knowledge of Databricks, including Unity Catalog, Clusters, and Data Catalog. * Proficiency in SQL and Python. * Experience in data modeling, including methodologies such as Bottom-Up, Top-Down, Snowflake, Dimensionality, and Measures. * Experience effectively using version control tools such as GitHub, including repository management, branching, and pull requests. * Familiarity with Data Quality practices, including tools such as Deequ, SODA, among others. * Experience with REST APIs. *Join our team and transform the future with us. Send us your CV to begin the selection process.*