Ingeniero de Datos

About the role

We are looking for a Data Engineer to design, build, and maintain data solutions that enable strategic decision‑making and power high‑impact digital products. You will work with both on‑premise and cloud environments, focusing on efficiency, scalability, and data quality.

Key responsibilities

• Design, develop, and deploy ETL/ELT pipelines, APIs, and data integration solutions.
• Optimize data transformation processes and ensure best‑practice development standards.
• Participate in data architecture and modeling for data warehouses, marts, and lakes.
• Implement validation, testing, and continuous improvement to guarantee stable data products.
• Collaborate in agile teams, contribute to documentation, incident resolution, and reusable component evolution.

Required profile

• Degree in Systems Engineering, Software Engineering, Computer Science, Data Science or related field.
• Strong knowledge of relational and NoSQL database modeling.
• Experience with big‑data technologies and cloud platforms.
• Familiarity with agile methodologies and modern DevOps practices.

Required skills

• Apache Spark
• PySpark
• Hadoop
• Kafka
• Oracle
• SQL Server
• PostgreSQL
• AWS, Azure, Google Cloud Platform
• Relational database modeling
• NoSQL database modeling
• ETL/ELT development
• DataOps
• CI/CD
• API development
• Agile methodologies

What we offer

• Comprehensive health and well‑being benefits
• Continuous learning and career development programs
• Performance‑based incentives and employee share participation
• Flexible and hybrid work models
• Opportunities to work on global projects