[Job-26705] Senior Data Engineer, Campinas, Brazil (Hybrid)

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are looking for a Senior Data Engineer to join our team on an exciting Project for a major American investment client. This position requires a hybrid work model (3x/week) at our office in Campinas, SP, Brazil. Responsibilities: Build and maintain end-to-end data pipelines in AWS, often ingesting data from multiple REST APIs. Design reliable, observable, and scalable pipelines, with a strong focus on data quality and monitoring. Explain and discuss the logic of your solutions with stakeholders, not just the tools used. Requirements: Advanced English, comfortable explaining technical solutions in conversation. Proven experience as a Data Engineer Strong hands-on experience in Python (data processing, API integration, automation) and advanced SQL (CTEs, window functions, optimization). Solid experience designing, building, and maintaining data pipelines on AWS , including: Ingestion from REST APIs (authentication, pagination, rate limiting, error handling). Transformation and loading into data lakes / data warehouses. Orchestration (e.g. Step Functions, Glue Workflows, or similar). Strong hands-on experience with AWS Serverless and data ecosystem : Lambda, Glue (Glue Jobs / Glue Studio), DynamoDB, ECS/Fargate (if applicable). S3, IAM, CloudWatch (logs, metrics, alarms), Step Functions. Experience with PySpark or similar distributed processing frameworks (e.g. Spark on EMR/Glue). Nice to have Experience in marketing data use cases (campaigns, events, customer 360, CDP). Experience with Adobe Experience Platform (AEP) , especially CDP. Experience with event-based architectures (e.g. tracking events, customer journeys). Good understanding of Data Engineering fundamentals : Data modeling (dimensional and relational), data structures. ETL vs ELT, batch vs streaming workflows. Data quality, data governance, and data observability practices (monitoring, alerting, lineage). Familiarity with Git/GitHub and CI/CD workflows for data pipelines. Strong problem-solving mindset: Ability to clearly explain the logic behind the solution , trade-offs and troubleshooting steps. Strong communication skills and ability to collaborate with cross-functional teams. #LI-AG4 #mid-senior 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.