📋 Description

• Design, build, and industrialize data solutions that are scalable and production-ready.
• Develop enterprise-grade Python data tooling with Pandas and NumPy.
• Create and optimize ETL/ELT pipelines; ensure performance and reliability.
• Implement reusable data processing components and maintain CI/CD practices.
• Operate monitoring, logging, and observability for production services.
• Collaborate with multidisciplinary teams and manage stakeholder expectations.

🎯 Requirements

• Extensive Python experience with Pandas and NumPy.
• Data engineering: ingestion, preprocessing, cleansing, transformation, validation, enrichment.
• Design of scalable ETL/ELT pipelines and production-ready solutions.
• CI/CD pipelines, deployment artifacts, and Python packaging.
• DevOps principles and software delivery lifecycle familiarity.
• English proficiency for daily meetings; experience in production environments.

🎁 Benefits

• Permanent contract with indefinido disposition.
• Flexible compensation and target-based bonuses.
• Online training platform and certifications.