[Job - 31120] Mid Level Data Developer, 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. Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side. As CI&T continues to grow its data practice, we are looking for a skilled Data Developer to join a team supporting data initiatives for a client in the consumer electronics and audio technology industry. This role is central to keeping the client's data reliable, well-modeled, and ready to power analytics and reporting across the business. The Data Developer will work hands-on with existing data models and transformation workflows, turning business and analytical requirements into accurate, trustworthy datasets. The position combines technical depth in data transformation with strong collaboration skills, partnering closely with data developers, analysts, and business stakeholders to keep data pipelines running smoothly and to resolve issues as they arise. Responsibilities: 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. Requirements: 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. Nice to Have: 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 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. As CI&T continues to grow its data practice, we are looking for a skilled Data Developer to join a team supporting data initiatives for a client in the consumer electronics and audio technology industry. This role is central to keeping the client's data reliable, well-modeled, and ready to power analytics and reporting across the business. The Data Developer will work hands-on with existing data models and transformation workflows, turning business and analytical requirements into accurate, trustworthy datasets. The position combines technical depth in data transformation with strong collaboration skills, partnering closely with data developers, analysts, and business stakeholders to keep data pipelines running smoothly and to resolve issues as they arise. Responsibilities: 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. Requirements: 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. Nice to Have: 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