Apply for AWS Document DB Developer Job

5+ Years Relevant Experience

Must Have Skills

• Proficiency in programming languages such as Python, Scala, or similar
• Solid understanding of machine learning frameworks such as TensorFlow and PyTorch
• Strong experience in data classification, including the identification of PII data entities
• Knowledge and experience with retrieval-augmented generation (RAG) and agent-based workflows
• Deep understanding of how to re-rank and improve LLM outputs using Index and Vector stores
• Ability to leverage AWS services (e.g., SageMaker, Comprehend, Entity Resolution) to solve complex data and AI-related challenges
• Ability to manage and deploy machine learning models and frameworks at scale using AWS infrastructure
• Strong analytical and problem-solving skills, with the ability to innovate and develop new approaches to data engineering and AI/ML
• Experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively
• Experience in core AWS Services including AWS IAM, VPC, EC2, S3, RDS, Lambda, CloudWatch, CloudTrail
• Design, develop, and implement scalable and high-performance database solutions using Amazon DocumentDB to store and manage JSON-like data
• Expertise in data modelling with any NoSQL Databases like DocumentDB
• Manage and optimize DocumentDB clusters, ensuring reliability, scalability, and performance in a production environment
• Develop and maintain database queries, schemas, and indices for efficient data retrieval
• Work with developers and architects to ensure seamless integration of DocumentDB with other AWS services and applications
• Create and manage backups, disaster recovery plans, and data security protocols for DocumentDB
• Monitor and troubleshoot database performance issues with DocumentDB, performing root cause analysis and resolution
• Experience in core AWS Services including AWS IAM, VPC, EC2, S3, RDS, Lambda, CloudWatch, CloudTrail
• Experience with data privacy and compliance requirements, especially related to PII data
• Familiarity with advanced data indexing techniques, vector databases, and other technologies that improve the quality of AI/ML outputs
• Experience in the development of Event-Driven Distributed Systems in the Cloud using Serverless Architecture
• Ability to design and develop Data Pipelines in AWS Cloud using Glue
• Ability to design, orchestrate, and schedule jobs using Airflow
• Familiar using Large Language Models (LLMs) for Data Classification and Identification of PII data entities
• Knowledge of AWS AI Services like AWS Entity Resolution, AWS Comprehend

Project Overview

• It’s one of the workstreams of Project Acuity
• PASD Data Platform includes centralized web application for internal PASD users across the Recruitment Business to support marketing and operational use cases
• Building a database at the patient level will provide significant benefit to PASD’s future reporting capabilities and engagement of external stakeholders

Role Scope / Deliverables

• Highly skilled and motivated AWS DocumentDB Developer
• Extensive experience working with Amazon DocumentDB
• Solid skills in building, maintaining, and optimizing database solutions within the AWS ecosystem
• Knowledge and some experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) for data processing and integration