Big Data Infrastructure Architect

Há 16 horas


Porto Alegre RS, Brasil beBeeDataEngineer Tempo inteiro

Data Engineering Specialist We are seeking a highly skilled Python Data Engineer with an AI/ML focus to join our organization's growing data & analytics team. This role is ideal for someone who loves building scalable data pipelines, operationalizing machine learning workflows, and partnering closely with data scientists to bring models into production. You will design, develop, and maintain data infrastructure that powers AI-driven insights across the organization, including data models and pipelines that run through Snowflake. Key Responsibilities: Build, optimize, and maintain ETL/ELT pipelines using Python, modern data engineering frameworks, and Snowflake as a central data warehouse. Architect and manage data workflows, ensuring accuracy, scalability, and reliability. Work closely with data scientists to deploy, monitor, and tune machine learning models. Develop 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. Optimize data storage, compute usage, and performance within Snowflake and cloud-native tools (AWS, GCP, or Azure). Create and maintain documentation, data catalogs, and operational guides. Monitor data system performance and recommend improvements.



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