Senior Data Developer

📋 Description

• Translate legacy Databricks notebook logic into modern ELT patterns, prioritizing declarative
• Ensure backward compatibility during migration by implementing trusted-core layering and
• Build scalable ingestion pipelines by parameterizing YAML configurations that feed an automated DAG
• Apply synchronous and unit-level assertions within the transformation layers to prevent null
• Execute technical validation projects by reconciling data output between the legacy environment and
• Follow strict CI/CD workflows through feature branches, pull requests, and automated deployment

🎯 Requirements

• Strong, hands-on technical depth in Python, PySpark, and advanced SQL for large-scale distributed
• Robust experience migrating data lakes and refactoring legacy code, including reverse-engineering
• Practical mastery of the Google Cloud data engineering ecosystem, particularly BigQuery, Dataform
• Solid understanding of Medallion Architecture (Raw/Bronze, Silver/Trusted Core, Gold) and
• Hands-on experience with modern GitOps development flows (code review, pull request submission) and
• Maturity in data quality practices, with testing applied directly to transformation pipelines

🎁 Benefits

• Plano de saúde e odontológico
• Vale alimentação e refeição
• Auxílio-creche
• Licença parental estendida
• Parceria com academias e profissionais de saúde e bem-estar via Wellhub (Gympass) TotalPass
• Participação nos Lucros e Resultados (PLR)