Vacancy expired!
- Design and architect real-time data streaming architecture on AWS.
- Design and implement streaming ingestion pipeline to load data from bed side devices (both discrete vitals and waveform data).
- Utilize software development best practices such as version control via Git, CI/CD, and release management to build and deploy the streaming services and pipelines.
- Build automated data validation processes to ensure the quality and integrity of the datasets.
- Implement appropriate monitoring and observability solutions.
- Monitor cloud application performance for potential bottlenecks and resolve performance issues.
- Bachelor's degree in computer/Analytics/Data Science related field.
- 3-6 years of Business Intelligence/Data Warehousing experience, preferably in a healthcare and research environment.
- Experience working with Kafka, Spark Streams, RabbitMQ, Snowflake, Grafana, Prometheus, AWS services - S3, Kinesis, SQS, TimeStream, Redshift, CloudWatch, EKS.
- Experience working with HL7 data.
- Experience coding with Python/Java.
- Strong SQL, Data Warehousing and Data Lake fundamentals.
- Hands-on experience with Linux (RHEL/Debian) operating system.
- Knowledge of version control systems such as Git.
- Experience consuming and building APIs.
- Experience utilizing Agile methodology for development.
Vacancy expired!