Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy and operationalize machine learning models on SageMaker
- Design scalable data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality across pipelines
- Implement data governance, security, and access controls
- Integrate generative AI workflows using Amazon Bedrock
- Manage data metadata using AWS Glue Data Catalog
- Monitor machine learning model performance
- Perform Azure to AWS data migration
Perks/Benefits
- Autonomy and ownership
- Career growth
- Collaborative cross-functional environment
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS Glue | AWS Kinesis | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Data Governance | Data Lake | Data Lake Architecture | Data Modeling | Data Processing | Data Security | ETL | Feature Engineering | Lake Formation | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Step Functions
Education
N/A
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