Mid-Level Data Engineer

• Design and evolve Data Lake environments, ensuring scalability and data governance
• Design and build modern, modular data warehouses prepared for growth and high performance
• Develop data schemas and resilient architectures in line with 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
• Contribute to building data-driven recommendation mechanisms and processes
• Support business squads with structured, reliable data ready to generate value
• Serve as a technical reference, supporting and mentoring more junior professionals
• Actively collaborate with the team to solve complex problems and turn data into actionable decisions

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

• Position also open to applicants with disabilities
• Collaborative and diverse work environment
• Continuous learning opportunities
• Commitment to excellence and continuous growth
• Participation in recruitment processes without any fees