Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Collaborate on architecture documentation
- Deploy and operationalize machine learning models
- Design data lake architecture on AWS
- Develop ETL workflows and data transformations
- Ensure data quality across pipelines
- Implement data governance and access controls
- Integrate generative AI workflows with Amazon Bedrock
- Manage metadata with AWS Glue Data Catalog
- Migrate data from Azure to AWS
- Train tune and monitor SageMaker models
Perks/Benefits
Skills/Tech-stack
AWS Athena | AWS Glue | AWS Kinesis | AWS Lake Formation | AWS Lambda | AWS S3 | AWS Step Functions | Agile | Amazon Bedrock | Amazon SageMaker | Amazon Web Services | Batch data | Batch data pipelines | Data Governance | Data Migration | Data Modeling | Data Pipelines | ETL | Feature Engineering | Lake Formation | Python | Real Time | Real-time Data | Real-time data pipelines | SQL | Step Functions | Web Services
Education
N/A
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