Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy and operationalize ML models with SageMaker
- Design scalable data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and compliance
- Implement data governance, security, and access controls
- Integrate generative AI with Amazon Bedrock
- Manage metadata using AWS Glue Data Catalog
- Migrate data platforms from Azure to AWS
- Train tune deploy and monitor ML models
Perks/Benefits
- Autonomy and ownership
- Career growth
- Collaborative global team
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS | AWS Glue | AWS Glue Data Catalog | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Batch Data Processing | Batch data | Data Catalog | Data Governance | Data Migration | Data Modeling | Data Processing | Data Security | ETL | Feature Engineering | Glue Data Catalog | Lake Formation | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Step Functions
Education
N/A
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