Related skills
aws etl python pandas airflowπ Description
- Architect and maintain Python apps using OOP and enterprise patterns.
- Build RESTful APIs and microservices with FastAPI or Flask.
- Use Pandas, NumPy, SQLAlchemy, PySpark for data processing.
- Implement solutions with Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
- Deploy and orchestrate services using Docker, ECS, or Kubernetes.
- Design scalable ETL/ELT pipelines with Airflow, Prefect, or AWS Step Functions.
π― Requirements
- 5+ years software dev with 4+ years production Python experience
- 3+ years hands-on AWS data services
- Deep understanding of ETL/ELT patterns and modern data architecture
- Strong communication with business stakeholders and PMs
π Benefits
- 100% Remote Work: work from anywhere with reliable internet
- Competitive USD pay
- Paid time off
- Autonomy to manage time and deliver results
- Work with top American companies
- Diverse, global network of professionals
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