Senior Data Engineer, CX
Tasks
- Automate ML AI lifecycle steps
- Build and maintain data pipelines
- Collaborate to ensure end to end application integration
- Deploy and monitor ML AI workflows
- Design build and maintain scalable machine learning workflows
- Develop APIs or UX for feature enablement
- Integrate Amazon Bedrock and foundation models into agentic workflows
- Prepare data for feature consumption
- Translate business needs into technical solutions
- Use AI assisted engineering tools to accelerate development testing and code review
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon Kinesis | Amazon RDS | Amazon S3 | Apache Spark | CI/CD | Containers | Data Lake | Data Warehousing | Distributed Systems | Docker | ETL | Generative AI | GitHub | IAM | JavaScript | Kubernetes | LLM | Low Latency | Low latency pipelines | Microservices | MongoDB | NoSQL | Python | Real Time | Real-time Streaming | SQL | Security groups | Snowflake | Step Functions
Education
N/A
Roles
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