[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.