Related skills
docker aws python pandas kubernetes📋 Description
- Architect and maintain Python apps using OOP and enterprise patterns.
- Build RESTful APIs and microservices with FastAPI or Flask.
- Use Pandas, NumPy, SQLAlchemy, and PySpark for data processing.
- Implement data solutions with Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
- Deploy/orchestrate with Docker, ECS, Kubernetes; IaC via CloudFormation/CDK/Terraform.
- Design scalable ETL/ELT pipelines using Airflow or Prefect.
🎯 Requirements
- Software Experience: 5+ years in software development with 4+ years of production Python experience (including async programming).
- AWS Expertise: 3+ years of hands-on experience with data-centric AWS services.
- MDM experience
- Architecture Knowledge: ETL/ELT patterns and modern data architecture principles.
- Communication: Ability to explain complex technical concepts to business stakeholders and project managers.
🎁 Benefits
- 100% Remote Work: work from anywhere with internet access.
- Highly Competitive USD Pay: market-leading compensation in USD.
- Paid Time Off: generous PTO to unwind and recharge.
- Work with Autonomy: manage your time and deliver results.
- Work with Top American Companies: high-impact projects with leading U.S. companies.
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