We are looking for a Senior Data Engineer to join our growing data team to design, build, and maintain scalable data infrastructure that powers our analytics, AI initiatives, and business operations.
Requirements
- Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming)
- Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making
- Develop and optimize complex SQL queries, stored procedures, and data models
- Write clean, production-grade Python code for data ingestion, transformation, and automation
- Build and manage cloud-native data infrastructure on AWS, GCP, or Azure
- Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)
- Support ML workflows including feature engineering, model training pipelines, and MLOps integration
- Ensure data quality, governance, and lineage tracking across all data assets
- Collaborate with data scientists and analysts to deliver trusted, well-documented datasets
- Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency
- Contribute to the development of internal data platform tools and frameworks
- Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD)