Senior Data/ML Engineer (AWS)
Tasks
- Build batch and streaming data pipelines
- Build data models for Customer 360
- Build entity resolution pipelines
- Collaborate on architecture documentation and data governance
- Configure Athena querying
- Design enterprise data lake
- Develop and deploy ML models
- Develop data transformation and orchestration
- Ensure data quality validation and integrity
- Implement data lake security
- Implement data synchronization pipelines
- Integrate Bedrock foundation models
- Integrate QuickSight analytics
- Lead data architecture
- Migrate data lake from Azure to AWS
- Support ML feature stores and dashboards
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Data | AWS Data Pipeline | AWS DataSync | AWS Glue | AWS Glue ETL | AWS Lambda | AWS Step Functions | Agile | Amazon API | Amazon API Gateway | Amazon Athena | Amazon Bedrock | Amazon Entity Resolution | Amazon Kinesis | Amazon Lake Formation | Amazon QuickSight | Amazon S3 | Amazon SageMaker | Data Modeling | Data Quality | Data pipeline | Drift Detection | Entity Resolution | Feature Engineering | Glue ETL | LLM Prompt | LLM Prompt Engineering | Lake Formation | MLOps | Model Drift | Model Drift Detection | Model Monitoring | Prompt engineering | Python | QuickSight | RAG | SQL | Step Functions
Education
N/A
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