[Job-31421] Senior Data Engineer, Brazil

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. ***\*\* Must have good English => C1 or above*** At CI&T, we're growing fast and looking for a talented, motivated Data Engineer to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients. ### Key Responsabilities - Design, develop, and maintain scalable data pipelines and infrastructure. - Collaborate with cross-functional teams to ensure data integrity and usability. - Document data workflows, processes, and architectures. - 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). - Provide technical support and troubleshooting for data-related issues. ### Qualifications - **Good English communication skills is mandatory (reading, writing, and speaking).** - Proven experience working with modern data engineering stacks in the cloud. - Experience with the Databricks platform is a must-have for this position. - Strong knowledge of Spark, Python, and SQL. - Knowledge of CI/CD pipelines for ETL processes. - Expertise in dimensional data modeling. - Experience with Data Lake/Data Warehouse implementations. ### Nice to Have - Databricks certification is a plus. - Experience working with international clients. - Experience working with Azure and AWS. - Experience with Power BI. - Familiarity with Data Quality practices. - Familiarity with Data Governance using Unity Catalog. - Knowledge of FinOps as applied to the data space. #LI-LL1