Senior Data/ML Engineer (AWS)
Tasks
- Build batch and real-time data pipelines
- Collaborate on architecture and documentation
- Deploy and monitor machine learning models with SageMaker
- Design and implement data lake architecture on AWS
- Develop ETL workflows and data transformations
- Ensure data quality and compliance
- Implement data governance and access controls
- Integrate generative AI workflows with Bedrock
- Manage metadata with Glue Data Catalog
- Migrate data from Azure to AWS
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Data Catalog | Data Governance | Data Lake | Data Modeling | Data Security | ETL | Feature Engineering | Machine Learning | Python | SQL | Step Functions
Education
N/A
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