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