Senior Data/ML Engineer (AWS)
Tasks
- Build batch data pipelines
- Build real-time streaming pipelines
- Deploy machine learning models on SageMaker
- Design AWS data lake architecture
- Develop ETL workflows
- Ensure data quality
- Implement data governance and access control
- Integrate generative AI with Bedrock
- Manage data catalog metadata
- Migrate data from Azure to AWS
- Monitor machine learning models
Perks/Benefits
- Career growth
- Collaborative global team
- Exposure to cutting-edge technologies
- Flexible work culture
- Fully remote work
Skills/Tech-stack
AWS | AWS Glue | AWS Glue Data Catalog | AWS Lambda | AWS Step Functions | Agile | Amazon Athena | Amazon Bedrock | Amazon Kinesis | Amazon S3 | Amazon SageMaker | Apache Spark | Azure | Cloud Migration | Data Catalog | Data Governance | Data Modeling | Data Quality | Data Security | ETL | Feature Engineering | Glue Data Catalog | Python | SQL | Step Functions
Education
N/A
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