Data Engineer

• Work with data scientists, data architects and machine learning engineers to create innovative products and technologies that facilitate, accelerate and enable the development and deployment of scalable, high-quality AI/machine learning solutions;
• Collaborate closely with the technical team to build end-to-end data pipelines (extraction, cleansing/transformation and delivery);
• Develop end-to-end data processing pipelines on AWS and the Databricks platform to ensure data is available for consumption in the data lake;
• Select the best technology stack and use appropriate libraries and cloud services for each task, aligned with architecture, applying engineering best practices and standards;
• Produce high-quality code that enables continuous delivery of our solutions to production;
• Play an active role in team meetings and engineering presentations to promote best practices in business model development.

Junior Data Engineer

Mid-level Data Engineer

Engenheiro de Dados Sênior

Arquiteto de Dados

Senior Cloud Data Architect

Data Architect III – Metadata, Data Quality