Senior Data/ML Engineer (AWS)
Tasks
- Build and maintain batch data pipelines
- Build and maintain real-time data pipelines
- Collaborate on architecture and documentation
- Design and implement 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 capabilities
- Manage metadata with data catalog
- Monitor machine-learning models in production
- Perform data migration from Azure to AWS
- Train and deploy machine learning models
Perks/Benefits
- Autonomy and ownership
- Career growth
- Collaborative global environment
- Exposure to cutting-edge technologies
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS Glue | AWS Lake Formation | AWS Lambda | Agile | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Data Governance | Data Modeling | Data Security | Data Transformation | ETL | Feature Engineering | Lake Formation | Python | SQL | Step Functions
Education
N/A
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