Related skills
docker aws snowflake python airflowπ Description
- Design and maintain production-grade Python apps using OOP and patterns.
- Build RESTful APIs and microservices with FastAPI or Flask.
- Develop ETL/ELT pipelines with Pandas, PySpark, SQLAlchemy.
- Architect cloud-native data solutions on AWS (Lambda, Glue, S3, Step Functions).
- Design scalable orchestration workflows with Airflow, Prefect, or AWS Step Functions.
- Implement event-driven/serverless data processing for real-time and batch.
π― Requirements
- Senior-level Python engineer with production mindset.
- 5+ years software engineering; 4+ yrs production-grade Python (async).
- Proven ETL/ELT pipelines and modern data architectures.
- Strong hands-on AWS data/orchestration in production.
- Async Python, event-driven systems, and microservices.
- IaC and container-based deployments.
π Benefits
- 100% remote work.
- Competitive USD pay.
- Paid time off.
- Autonomy in time management.
- Work with top American companies.
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