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