CI&T is looking for a Mid-level GCP Data Engineer based in Brazil to design, build, and maintain our data infrastructure and pipelines. You will play a key role in developing scalable data solutions on Google Cloud Platform.
What You'll Do
- Design, build, and maintain reliable data pipelines on GCP
- Implement data models and structures for optimal storage and retrieval
- Optimize data processing workflows for performance and cost-efficiency
- Collaborate with data analysts and scientists to support their data needs
- Ensure data quality, security, and governance practices are followed
What We're Looking For
- Mid-level experience as a Data Engineer with a focus on Google Cloud Platform
- Proven hands-on experience with core GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage)
- Strong proficiency in SQL and experience with data modeling
- Solid programming skills in Python or Java
- Ability to work effectively in a collaborative, agile team environment
Technical Stack
- Cloud Platform: Google Cloud Platform (GCP)
- Core Services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer
- Languages: SQL, Python/Java
Work Mode
This is a hybrid position based in Brazil. Specific in-office requirements will be defined by local team agreements.
CI&T is an equal opportunity employer.
