• Design, develop, and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to ensure data integrity and usability.
• Integrate data quality into data pipelines.
• Develop CI/CD pipelines for ETL processes.
• Implement dimensional data modeling.
• Implement Data Lake/Data Warehouse solutions.
• Implement Data Governance practices (catalog, lineage, etc).
• Apply Fin Ops principles to optimize data costs.

• Good English communication skills (reading, writing, and speaking).
• Experience working with international clients.
• Proven experience as a Data Engineer or in a similar role.
• Strong background in data engineering with modern data stacks.
• Experience in a cloud environment using SQL and/or Spark.
• Experience with Azure and cloud-based data services
• Familiarity with Data Quality practices.
• Knowledge of CI/CD pipelines for ETL processes.
• Expertise in dimensional data modeling.
• Experience with Data Lake/Data Warehouse implementations.
• Understanding of Data Governance principles.
• Knowledge of Fin Ops as applied to the data space.

• Health plan and dental plan;
• Meal allowances;
• Childcare assistance;
• Extended parenting leave;
• Gympass
• Annual profit-sharing distribution;
• Life insurance;
• Partnership with an online mental health platform;
• CI&T University;
• Discount Club;
• Support Program:psychological guidance; nutritionist and more;
• Pregnancy course and responsible parenthood;
• Partnership with online course platforms
• Platform for language learning;
• And many others.