Data Engineer
Role Overview
We seek a highly skilled Data Engineer with AI/ML focus to drive data and analytics growth in Brazil.
This role is ideal for someone who thrives on building scalable data pipelines, operationalizing machine learning workflows, and collaborating closely with data scientists to bring models into production.
Key Responsibilities
* Design, optimize, and maintain ETL/ELT pipelines using Python, modern frameworks, and Snowflake as central data warehouse.
* Develop and manage data workflows ensuring accuracy, scalability, and reliability.
* Partner with data scientists to deploy, monitor, and tune machine learning models.
* Establish feature engineering pipelines, preprocessing workflows, and model-serving APIs.
* Integrate data from various sources (APIs, databases, cloud storage, streaming platforms).
* Implement MLOps best practices including versioning, CI/CD for ML, and automated retraining workflows.
* Enhance data storage, compute usage, and performance within Snowflake and cloud-native tools (AWS, GCP, or Azure).
* Document data systems, create catalogs, and develop operational guides.
* Monitor data system performance and recommend improvements.