Data Engineer - AWS
Tasks
- Build end to end AI and ML workflows
- Collaborate with cross-functional teams to define data requirements
- Design real-time data streaming pipelines
- Implement data lake architecture
- Integrate AI and ML technologies into data processing
- Maintain batch and real-time data pipelines
- Manage infrastructure using Infrastructure as Code
- Optimize and troubleshoot data pipelines for performance and availability
- Perform statistical modelling for forecasting
- Validate data quality using statistical techniques
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon Web Services | Anomaly Detection | Apache Spark | CloudFormation | Data Lake | Data Quality | Delta Lake | ECS | Feature Engineering | Infrastructure as Code | Kafka | Machine Learning | Model Training | Real Time | Real-time Inference | Regression | Series forecasting | Terraform | Time Series | Time Series Forecasting | Web Services | “as-code”
Education
N/A
Roles
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