We are looking for a Senior Data Engineer to ensure the integrity, consistency, and efficiency of data models throughout the ecosystem, performing structural reviews, defining standards, and ensuring governance. The ideal candidate will have experience in Azure Data Services, Databricks, and cloud migration projects, as well as knowledge of Python, SQL, and CI/CD practices.
Requirements
- Develop and maintain data pipelines (ETL/ELT) in the Azure environment, using Databricks for processing and integration.
- Implement CI/CD practices for automated deployment and versioning of code in GitHub.
- Design and optimize data models to ensure scalability, performance, and governance.
- Support cloud migration projects, ensuring data security, quality, and integrity.
- Collaborate with business teams and data science teams to deploy AI models in the cloud.
- Ensure data quality and consistency, applying data profiling and monitoring techniques.
- Document processes, architectures, and data engineering best practices.
Benefits
- Health and dental plan
- Food and meal allowance
- Creche allowance
- Extended parental leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Participation in profits and results (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Online platform for free promotion of physical, mental, and well-being health
- Gestational and responsible parenting course
- Partnership with online course platforms
- Language learning platform
