Key Skills: Snowflake, Python, SQL, Data Modeling, API Integrations, Data Pipelines, AWS (Nice to have)
Experience: 5+ years in Data Engineering
Location: LATAM (Remote)
- Design scalable and efficient data models and analytical cubes in collaboration with stakeholders.
- Develop and maintain robust data pipelines using SQL and Python.
- Integrate data models and data services through APIs.
- Leverage Snowflake to build optimized, high-performance data solutions.
- Collaborate with cross-functional teams to support data infrastructure, reporting, and analytics initiatives.
- Ensure best practices in data architecture, modeling, and pipeline performance.
- Contribute to continuous improvement of data engineering standards and practices.
- 5+ years of experience in Data Engineering or related roles.
- Strong proficiency in SQL and Python.
- Hands-on experience with Snowflake (minimum 1 year).
- Solid experience in data modeling for analytical and reporting use cases.
- Proven experience in API integrations.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in cross-functional teams.
- Good communication skills and a proactive mindset.
- Familiarity with AWS and cloud-based data solutions.
- Experience working in environments with large backlogs or multiple concurrent data projects.
- Exposure to modern data architectures and scalable pipeline design.






