- Ciandt
- Campinas, SP
- Full-Time
- 9 days ago
[Job-31899] Senior Data Engineer, Campinas (on-site).
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[Job-31899] Senior Data Engineer, Campinas (on-site): our view in 3 lines...
- The Role:This role is for a senior data engineer focused on enterprise data transformation and AI-enabled business solutions.
- The Person:The person will build and maintain data pipelines, integrate data from multiple sources, ensure data quality and governance, document best practices, and work with business and analytics teams on data requirements.
- Requirements:The ideal candidate has strong experience with Python, SQL, AWS, S3, Glue, Lambda, Iceberg tables, Spark, Athena, ETL or ELT frameworks, and DataOps practices.
About the role
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.
- Develop and maintain data pipelines;
- Integrate data from various sources (APIs, relational databases, files, etc.);
- Collaborate with business and analytics teams to understand data requirements;
- Ensure quality, reliability, security and governance of the ingested data;
- Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD
- Document processes and best practices in data engineering.
Must-have:
- Proven experience in building data pipelines in AWS , leveraging S3, Glue, Lambda, Iceberg tables, Spark and Athena.
- Strong programming skills in Python and SQL for data processing and transformation;
- Understanding of ETL/ELT frameworks, data warehousing, and distributed data processing;
- Experience with modern DataOps practices.
- Familiarity with a variety of cloud platforms (AWS, Azure, or GCP) and related data services).
- Advanced English level.
Nice-to-have:
- Experience with Databricks, Lakehouse and Unity Catalog.
- Experience with data contracts, schema evolution, and ensuring compatibility across services.
- Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions).
- Familiarity with DBT, Atlan and Soda.
- Integration with Power BI
- Experience with Data Streaming.

