Related skills
azure docker aws postgresql python📋 Description
- Architect, build, and optimize data processing systems for reliability, efficiency, and scalability
- Develop and optimize ETL processes and data models for transformation and workloads
- Develop and maintain data models that support analytics, reporting, and apps
- Create robust data quality observability, monitoring, testing, and validation frameworks
- Engage analytics teams to ensure the data supports decision making
- Support the integration of data systems with aircraft telemetry and flight testing
🎯 Requirements
- Bachelor's or Master's in CS, Aerospace Eng, Data Analytics, or related
- 3+ years in data or software engineering with SQL and programming (Python, Go, Rust)
- Experience designing/managing data warehouse and lakehouse architectures
- Led real-time data pipelines using Kafka or related technologies
- Expertise with cloud data platforms (AWS, GCP, Azure)
- Deployed and scaled data workloads with Docker and Kubernetes
🎁 Benefits
- Pay-for-performance culture
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