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 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 grows, we seek a talented, motivated, and experienced Data Engineer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive. The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions. Responsibilities: Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs. Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy. Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability. Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms. Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making. Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions. Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes. Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems. Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity. Requirements: Experience with major Cloud Platform providers (Azure, AWS, or GCP) Experience with data platforms Databricks or Snowflake Good level of English B2 or above Experience working with international clients Strong experience with data pipeline development and ETL/ELT processes Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar) Experience with SQL and at least one programming language (Python, Scala, or Java) Understanding of data modeling and database design principles Nice to Have: Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.) Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis) Certifications in cloud platforms or data engineering Spanish communication (reading, writing, and speaking is mandatory) #LI-TO1 As CI&T grows, we seek a talented, motivated, and experienced Data Engineer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive. The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions. Responsibilities: Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs. Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy. Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability. Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms. Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making. Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions. Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes. Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems. Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity. Requirements: Experience with major Cloud Platform providers (Azure, AWS, or GCP) Experience with data platforms Databricks or Snowflake Good level of English B2 or above Experience working with international clients Strong experience with data pipeline development and ETL/ELT processes Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar) Experience with SQL and at least one programming language (Python, Scala, or Java) Understanding of data modeling and database design principles Nice to Have: Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.) Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis) Certifications in cloud platforms or data engineering Spanish communication (reading, writing, and speaking is mandatory) #LI-TO1 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.

[Job-31488] Senior Data Developer, Brazil

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