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