Senior Data Engineer (Python / AWS / ML Pipelines)
Tasks
- Build and maintain data pipelines in production
- Collaborate with data scientists to productionize ML models
- Contribute to data platform and ML infrastructure architecture
- Deploy machine learning models with AWS Sagemaker
- Develop ETL workflows in Python
- Execute pipelines with AWS Glue
- Improve pipeline performance
- Monitor and troubleshoot pipeline reliability
- Orchestrate workflows with AWS Step Functions
- Orchestrate workflows with Airflow
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Step Functions | Amazon SageMaker | Apache Airflow | Data Pipelines | ETL | Machine Learning | Python | Step Functions
Education
N/A
Roles
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