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. We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data solutions. In this role, you will work with modern data technologies such as Databricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions. Your responsibilities Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Build solutions to process and transform large datasets efficiently. Monitor and optimize existing data pipelines and workflows, improving performance, scalability, throughput, and reliability. Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions. Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance. Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions. Maintain clear technical documentation and contribute to engineering standards and best practices across the team. What we are looking for Solid professional experience in Data Engineering, particularly designing and developing data pipelines. Hands-on experience with Databricks and Apache Spark. Strong knowledge of SQL and experience working with large datasets. Proficiency in Python or Scala for data engineering. Experience working with Microsoft Azure and cloud-based data solutions. Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues. Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. #Midsenior #Li-mg04 We are looking for a Data Engineer to join our team and help design, build, and optimize scalable data solutions. In this role, you will work with modern data technologies such as Databricks, Apache Spark, SQL, Python, and Azure, collaborating with technical teams and business stakeholders to transform large volumes of data into reliable and efficient solutions. Your responsibilities Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Build solutions to process and transform large datasets efficiently. Monitor and optimize existing data pipelines and workflows, improving performance, scalability, throughput, and reliability. Collaborate with data scientists, analysts, engineers, and business stakeholders to understand data needs and translate them into effective technical solutions. Implement data quality checks and governance practices to ensure data accuracy, consistency, and compliance. Troubleshoot complex data and pipeline issues, identifying root causes and proposing sustainable solutions. Maintain clear technical documentation and contribute to engineering standards and best practices across the team. What we are looking for Solid professional experience in Data Engineering, particularly designing and developing data pipelines. Hands-on experience with Databricks and Apache Spark. Strong knowledge of SQL and experience working with large datasets. Proficiency in Python or Scala for data engineering. Experience working with Microsoft Azure and cloud-based data solutions. Strong analytical and problem-solving skills, including the ability to troubleshoot complex data issues. Excellent communication skills in English and Portuguese, with confidence working in collaborative environments and interacting with clients and stakeholders. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. #Midsenior #Li-mg04 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-31906] Senior Data Developer

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