Develop and maintain robust batch and streaming solutions using Python and PySpark
Design and implement solutions leveraging Data Lake and Lakehouse architectures
Implement automated data quality validations
Enable access to processed data for consumption by other applications
Manage and optimize complex queries over large data volumes
Implement advanced monitoring for pipelines and overall data health

Deep knowledge of Python
Hands-on experience building AI solutions
Knowledge of the AWS ecosystem
Experience with libraries such as Pandas and PySpark
Strong experience provisioning resources using Terraform or CloudFormation
Advanced proficiency with Git and automated deployment pipelines
Experience with dimensional modeling and modern architectures
Senior-level analytical ability to resolve performance bottlenecks and optimize cloud costs

Health and dental insurance
Meal and grocery allowance
Childcare assistance
Extended parental leave
Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) / TotalPass
Profit-sharing (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to promoting physical and mental health and well-being
Pregnancy and responsible parenting course
Partnerships with online course platforms
Language learning platform
And many more

Senior Data Developer

Key skills