Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Design data lake architectures on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and documentation
- Implement ML model scoring and prediction services
- Implement data governance, security, and access controls
- Integrate generative AI workflows
- Manage data catalog metadata
- Support Azure to AWS data migration
- Train tune deploy and monitor ML models
Perks/Benefits
- Career growth
- Collaborative cross-functional environment
- Exposure to cutting-edge technologies
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Data Governance | Data Modeling | Data Quality | ETL | Feature Engineering | Lake Formation | Machine Learning | Python | SQL | Step Functions
Education
N/A
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