Related skills
docker terraform aws python kubernetes📋 Description
- Design, build, and maintain robust data pipelines for real-time and batch
- Develop data architectures for ingestion, transformation, and storage
- Set up and maintain AWS SageMaker environments for model work
- Create and manage test datasets with versioning
- Implement monitoring, logging, and alerting for data pipelines
- Ensure ML pipelines and deployments meet security/compliance standards
🎯 Requirements
- 3-5 years in data eng, platform eng, or MLOps
- Python, AWS, SageMaker, ML deployment
- Docker and Kubernetes
- Data pipelines for real-time and batch
- Kafka or Kinesis for streaming
- Terraform or CloudFormation for IaC
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