Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Deploy and operationalize ML models on SageMaker
- Design scalable data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and compliance
- Implement data governance and access controls
- Integrate generative AI using Amazon Bedrock
- Maintain pipeline documentation
- Manage metadata using AWS Glue Data Catalog
- Migrate data platforms from Azure to AWS
- Monitor ML model performance
Perks/Benefits
- Career growth
- Collaborative work environment
- Exposure to advanced AWS data and AI ML 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 | Lake Formation | Python | SQL | Step Functions
Education
N/A
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