CI&T

• Develop and maintain ETL pipelines in Azure Data Factory.
• Write and optimize T-SQL stored procedures for data transformation.
• Enhance dimensional models (star schema) to support new reporting requirements.

• You will be responsible for leading the orchestration of releases of our web application, ensuring effective integration between different service providers.
• You will act as a communication link between the teams, promoting operational excellence and the implementation of good software management and SRE practices.
• Orquestrate and manage the releases of the web application, ensuring that they are implemented efficiently and within the established deadlines.

• Collaborate with cross-functional teams to identify software requirements.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Develop software solutions using Agile methodologies.

• Compreender as necessidades técnicas do projeto, participando ativamente de inceptions e refinamentos técnicos;
• Propor e implementar soluções que utilizem GenIA para otimizar operações e processos;
• Contribuir para o desenvolvimento e evolução de soluções escaláveis e de alta performance;

• Lead, mentor, and guide a team of developers, designers, and other specialists.
• Promote a culture of collaboration, innovation, and accountability within the squad.
• Facilitate daily stand-ups, sprint planning, retrospectives, and other agile ceremonies.

• Develop responsive and performant user interfaces using modern frameworks and tools.
• Translate design prototypes and wireframes into reusable and modular components.
• Collaborate with backend teams to integrate APIs and services into frontend applications.

• Define and communicate the long-term data architecture vision.
• Lead the evaluation and selection of technologies and frameworks.
• Establish and promote best practices for data management and governance.

• Define and lead end-to-end data architecture for complex ecosystems, balancing technical depth with business outcomes.
• Translate business strategy into scalable technology solutions through discovery workshops, assessments, and roadmaps.
• Act as technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.

• Understand complex business challenges and translate them into data science problems.
• Design and implement machine learning models, statistical tests, and optimization strategies.
• Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.

• Driving technical decisions and facing complex business challenges with clients and cross-functional teams;
• Conducting code reviews and ensuring adherence to architectural standards;
• Mentoring and coaching team members on best practices, code quality, and technical growth.

• Define and lead end-to-end AI architecture for complex ecosystems, balancing technical depth with business outcomes.
• Translate business strategy into scalable AI technology solutions through discovery workshops, assessments, and roadmaps.
• Act as a technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.

• Build, test, and maintain scalable backend services using modern technologies.
• Develop APIs and integrations.
• Collaborate with frontend, DevOps, and product teams to deliver end-to-end features.

• Design, build, and maintain scalable, high-quality data pipelines.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.

• Design, develop, and deploy AI-driven applications and services.
• Build and integrate LLM-based solutions using frameworks such as LangChain.
• Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.

• Driving technical decisions and facing complex business challenges with clients and cross-functional teams.
• Conducting code reviews and ensuring adherence to architectural standards.
• Mentoring and coaching team members on best practices, code quality, and technical growth.

• Oversee the entire lifecycle of data products, from ideation and development to deployment and optimization.
• Requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives.
• Manage the complete Data Lifecycle, from where data is generated to ETL pipelines and data enablement.

• Translate business requirements into clear technical and data specifications.
• Perform advanced data analysis and modeling to support business decisions and identify trends.
• Act as a key liaison between business stakeholders, UX/UI, and development teams.

• Define and prioritize the product backlog, ensuring alignment with the project's strategic objectives.
• Create executive materials and status reports for presenting results and project evolution to senior management.
• Act as a bridge between business areas and delivery teams, ensuring clarity of requirements and alignment of expectations.

• Develop and maintain test automation frameworks for web applications, using software development best practices.
• Create and execute automated tests, ensuring coverage of critical functionalities and relevant usage scenarios.
• Analyze automated test results, identify and report bugs clearly and accurately, using tracking tools.

• Contribute to the evolution of a modernization workflow supported by Artificial Intelligence.
• Explore, test, and apply AI tools and models in the context of software development.
• Use and evolve practices for using development support tools, with a special focus on GitHub Copilot.

• Experiência com ferramentas de automação e scripts.
• Conhecimento de Práticas DevSecOps.
• Experiência em desenvolver e manter pipelines de CI/CD com foco em segurança.

• Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
• Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
• Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.

• Design, develop, and maintain scalable and robust data pipelines.
• Create solutions for data ingestion, transformation, and modeling using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
• Ensure the quality, integrity, and usability of data throughout the entire pipeline.

• Analyze and document database structures and business processes to inform migration strategy.
• Collaborate with technical teams to ensure proper data quality checks are implemented.
• Design and execute testing plans to validate data accuracy and integrity post-migration.

• Guide teams to help them stay on track with agile techniques, fine-tuning approaches as needed to ensure strategy is met.
• Promote a culture of continuous improvement, setting goals and being accountable for them.
• Drive cultural change by championing an agile mindset and ensure the organization is at the forefront of industry practices.

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
• Implement and maintain data quality measures throughout the data lifecycle

• Develop, test, and deploy software applications using React/ Next.js and Go.
• Collaborate with stakeholders to define project requirements and technical solutions.
• Maintain and improve application performance, scalability, and reliability.

• Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
• Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
• Implement and maintain data quality measures throughout the data lifecycle

• Develop and maintain web applications using React and modern JavaScript frameworks.
• Collaborate with the team to design and implement user-facing features.
• Write clean, maintainable, and efficient code.

• Code highly complex systems in Java, applying advanced architectural patterns and best practices.
• Bring technical innovations and introduce new market standards that enhance project quality and efficiency.
• Solve complex problems with in-depth root cause analysis in critical environments.

Responsible for designing, creating, and managing our organization’s data architecture. Involves developing data models, defining data standards, and establishing best practices for data storage, integration, and retrieval. Ensure that our data systems are scalable, secure, and aligned with business requirements and industry best practices.