Senior Data/ML Engineer (AWS)
Tasks
- Apply data governance security and access controls
- Build data lake architectures on AWS
- Collaborate on architecture documentation and data quality
- Create ETL workflows and data transformations
- Deploy and monitor ML models with Amazon SageMaker
- Design scalable data and ML solutions
- Develop batch and real-time data pipelines
- Implement generative AI workflows with Amazon Bedrock
- Manage data metadata with AWS Glue Data Catalog
- Support Azure to AWS data migration
Perks/Benefits
- Career growth
- Collaborative global team
- Exposure to cutting-edge technologies
- Flexible work culture
- Fully remote work
- Large-scale enterprise projects
Skills/Tech-stack
AWS | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Azure | Data Governance | Data Migration | Data Modeling | Data Security | ETL | Feature Engineering | Lake Formation | Python | SQL | Step Functions
Education
N/A
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