Sr. Solution Architect - Full stack AWS ( Clinical Trials )

Experience on containers technologies in the industry (Docker, Kubernetes), micro- services and DevOps practices
Expertise in open source programming & frameworks, API development/consumption
Experience with multiple databases (RDBMS, NoSQL) and other common technologies such as Search Engines, Streaming & Queues
Advanced proficiency in JavaScript and Fullstack (majorly React.js, Node.js) development.
Strong experience with AWS Cloud services and deployment, majorly around
Experience in AWS Services like RedShift, Athena, S3, EC2 etc
Experience with AWS ETL services including AWS Glue, AWS Data Pipeline, and Amazon Redshift Spectrum.
Experience in Migration Services
Good exposure towards AWS Lambda
Knowledge on AWS Step Functions
GitHub Actions and AWS Copilot
Solid understanding of database design and management, including both relational and NoSQL databases.
Experience with event-driven architecture and technologies such as AWS SNS/SQS, Apache Kafka, or RabbitMQ.
Deep understanding of various design patterns such as N- tier, microservices, stateful vs. stateless, request-response vs. loose coupling vs. reactive, and batch/micro-batch/real-time processing.
Experience in API Development and Management
Experience in Platform/Data Pipeline Design and Implementation
Should have Integration Technology Stack
Experience in AI/ML Tech Stack Implementation within Programs
Caching tech - Redis, Cloud front, Step functions
Ability to design, build and unit test applications on Spark framework on Python.
Build PySpark based applications for both batch and streaming requirements, with in- depth knowledge on majority of Hadoop and NoSQL databases.
Experience in Clinical Trials Data is an advantage.