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