Databricks Data Engineer - Senior

📋 Description The role focuses on reconstructing, optimizing, and validating data pipelines aligned with Rebuild legacy data warehouse pipelines using Databricks, PySpark, and Spark SQL per Implement bronze, silver, and gold data layers following Medallion architecture and ingestion Execute migration waves by business domain while coexisting legacy and new platforms until cutover. Develop data transformations and automate testing across pipelines. Collaborate with engineers to improve data quality, reliability, and delivery processes. 🎯 Requirements 5+ years in Data Engineering roles. Advanced proficiency in PySpark and Python for large-scale batch pipelines, testing, and standards. Strong SQL for complex transformations and data modeling. Hands-on Databricks and Delta Lake experience with production workflows and Lakehouse patterns. Experience migrating/rebuilding ETL pipelines from legacy systems to Spark-based solutions with CDC Knowledge of AWS data services (S3, Glue, EMR, Athena, Lambda, DMS, Step Functions) and Azure 🎁 Benefits Opportunity to work on large-scale data modernization and Lakehouse initiatives. Remote work flexibility within Brazil. Exposure to Databricks, Delta Lake, Spark, AWS, and Azure. Collaborate with experienced engineers on high-impact data projects. Professional growth through AI, cloud, and data engineering practices. Tech-driven environment focused on innovation and continuous learning.