twomynds

Data Engineer

• Develop, test, and operate robust ETL/ELT data pipelines
• Ingest, transform, and provide data from various sources
• Design and maintain data models, schemas, and structures for data warehouses and lakehouses
• Implement data validation, quality checks, and monitoring
• Build and optimize scalable cloud data solutions on AWS, Azure, or GCP
• Work with Infrastructure as Code, taking performance, scalability, and costs into account
• Automate recurring data flows, for example with Airflow
• Ensure clean, repeatable deployments through CI/CD
• Provide high-performance, well-documented datasets for data scientists and analysts
• Support the deployment of models and AI use cases to production
• Collaborate with cross-functional teams, data scientists, analysts, and clients
• Translate business requirements into robust technical solutions