[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.