Mid/Senior Data Engineer

• Build and evolve Data Lake environments, ensuring data scalability and governance
• Design and build modern, modular data warehouses prepared for growth and high performance
• Develop data schemas and resilient architectures, following data engineering best practices
• Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments
• Conduct exploratory analyses and support the development of predictive models
• Participate in building data-driven recommendation mechanisms and processes
• Support business squads with structured, reliable data ready to generate value
• Actively collaborate with the team to solve complex problems and turn data into actionable decisions

• Experience developing ETL architectures
• Knowledge of performance optimization and data operations architectures
• Practical knowledge of operational management and relational databases
• Practical knowledge of programming languages and algorithms, particularly Python and TensorFlow
• Knowledge and experience in data development, integrations, and Docker and/or Kubernetes operations
• Bachelor's degree in Information Technology or a related field
• Databricks certifications are a plus

• This position is also open to candidates with disabilities
• Ethical, collaborative, and diverse work environment
• Continuous learning opportunities
• Opportunity to grow alongside the team
• Participation in innovation, technology, and digital transformation projects