Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy and monitor machine learning models with SageMaker
- Design scalable AWS data lake architectures
- Develop ETL workflows and data transformations
- Ensure data quality and documentation across pipelines
- Implement data governance and access controls with AWS Lake Formation
- Integrate generative AI workflows with Amazon Bedrock
- Manage data metadata using AWS Glue Data Catalog
- Migrate data platforms from Azure to AWS
Perks/Benefits
- Career growth
- Collaborative global engineering environment
- Exposure to cutting-edge technologies
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Agile | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Data Governance | Data Modeling | Data Quality | Data Security | ETL | Feature Engineering | Generative AI | Lake Formation | Machine Learning | Python | SQL | Step Functions
Education
N/A
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