[Job-31276] Engenheiro(a) de Dados PLENO, Brasil

Design, develop, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory. Develop ETL/ELT processes from data ingestion to transformation and availability. Work with Medallion Architecture and Data Lakehouse solutions. Integrate various data sources and systems, ensuring data quality and reliability.

Solid experience as a Data Engineer in production environments. Strong experience with Azure Databricks and proficiency in PySpark/Apache Spark. Advanced knowledge of SQL and experience with Python in Data Engineering. Familiarity with Azure Data Factory and Medallion architecture.

At CI&T, you will have the opportunity to work on global data transformation projects with modern Cloud, Data, and AI technologies. The environment promotes continuous learning, innovation, and professional growth.