$ cat jobs/job-31000-senior-data-engineer-brazil-ci-t-c864a7761839.json
[Job-31000] Senior Data Engineer, Brazil
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. At CI&T, we combine human expertise with AI to build scalable and innovative technology solutions for global clients. We are looking for a Senior Data Engineer with strong experience in Azure cloud, SQL, Python, Data Warehouse, and modern data engineering practices to join our international team. This role is ideal for professionals who enjoy working with scalable data pipelines, cloud-based data platforms, data quality, governance, and analytics enablement in complex enterprise environments. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments. Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence initiatives. Develop and maintain data integration and orchestration pipelines using Azure Data Factory or similar tools. Implement data quality validation, monitoring, and cleansing processes to ensure reliable and trustworthy data. Create and maintain dimensional data models (Star Schema) , including SCD Type 1 and Type 2 strategies. Develop Python-based integrations and automations , including REST API consumption and data transformation workflows. Implement CI/CD pipelines for data solutions and support automated deployment processes. Apply Data Governance best practices , including data lineage, cataloging, access control, and data ownership. Collaborate with international stakeholders, analysts, data scientists, and engineering teams to deliver high-quali
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