Senior Data/ML Engineer (AWS)
Tasks
- Build batch data pipelines
- Build real-time streaming pipelines
- Deploy and monitor machine learning models
- Design data lake architectures on AWS
- Develop ETL workflows
- Ensure data quality across pipelines
- Implement ML feature engineering
- Implement data governance and access controls
- Integrate generative AI workflows using Amazon Bedrock
- Maintain architecture documentation
- Manage data catalog and metadata
- Migrate data from Azure to AWS
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Glue Data Catalog | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Azure | Data Catalog | Data Governance | Data Lakehouse | Data Modeling | Data Security | ETL | Feature Engineering | Generative AI | Glue Data Catalog | Machine Learning | Python | SQL | Step Functions | Streaming
Education
N/A
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