Bachelor DegreePortugueseAirflowCloudETLGoogle Cloud PlatformNo SQLPythonSparkSQL
Job Description
• Implement monitoring systems and routines (data, applications, queries, etc.)
• Evolve data models, architecture, and the construction of data pipelines
• Implement data migration, processing, and storage routines (ETL)
• Develop integrations between different data sources (RDS, external APIs, etc.)
• Implement and execute load testing
• Monitor running data pipelines
Job Requirements
- Experience with Python
- Experience with GCP
- Experience with continuous integration and cloud deployment
- Experience with data lakes, data warehouses, and data marts
- Knowledge of SQL and NoSQL databases
- Familiarity with cloud platform services
- Knowledge of event-driven architecture
- Experience with streaming projects is a plus
- Experience with Airflow is a plus
- Distributed data processing (Spark or similar) is a plus
Benefits
- Remote work
- Full-time
- Opportunities for professional development
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