[Job-31899] Senior Data Engineer, Campinas (on-site)

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. Key Responsibilities:

• 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:
• Availability to work 5x/week at our Campinas office.
• 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. #LI-GP1