[Job - 31120] Mid Level Data Developer, 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.

• →Develops and maintains data transformations using SQL and dbt (or similar data transformation frameworks) to keep datasets accurate and up to date.
• →Queries, transforms, and validates data in Snowflake to support analytics and reporting needs.
• →Builds and maintains data models that support business and analytical requirements.
• →Investigates data quality, consistency, and accuracy issues by tracing data back through pipelines and transformation logic to identify root causes.
• →Analyzes and optimizes SQL queries and data transformations to improve performance and reliability.
• →Collaborates with data developers and analysts to understand data requirements and support the onboarding of new data sources.
• →Translates business and analytical requirements into reliable, well-documented datasets and data models.
• →Follows established data modeling, testing, documentation, and development best practices.
• →Supports the maintenance and continuous improvement of existing data pipelines and transformation workflows.
• →Contributes to analytics and reporting solutions, including dashboard support when required, without this being the core focus of the role.
• →Communicates data requirements, blockers, and issues clearly to both technical and business stakeholders.

• Advanced English proficiency (B2 or above), written and verbal, to participate in client meetings and discussions.
• Solid, hands-on experience with SQL for querying, transforming, and validating data.
• Practical experience working with Snowflake or a similar cloud data warehouse.
• Hands-on experience with dbt or a similar data transformation framework.
• Working knowledge of data modeling concepts and ETL/ELT (Extract, Transform, Load / Extract, Load, Transform) principles.
• Demonstrated ability to investigate and troubleshoot data quality and consistency issues.
• Strong analytical and problem-solving skills, with comfort working within existing data models and transformation workflows.
• Good communication skills, with the ability to translate business and analytical requirements into technical deliverables.

• Experience with Tableau or other BI/dashboarding tools.
• Experience creating or maintaining dashboards and reports.
• Familiarity with dbt testing, documentation, and data lineage practices.
• Experience with Git and basic CI/CD (Continuous Integration/Continuous Deployment) workflows.
• Exposure to modern data stack practices.
• Experience working with product analytics, customer behavior, or operational data.
  
  
  
  
  #LI-JP3