AWS Platform Engineer
EXL
AWS Platform Engineer
EXL
Analyzes business data and runs outsourced operations
We are looking for an AWS Platform Engineer who carries experience in architecture of Enterprise
Data Warehouse implementation on AWS IAM, Neo4J, S3, VPC, CloudWatch and other relevant
services. An ideal candidate will be responsible for managing, maintaining, and optimizing AWS
infrastructure, ensuring high performance, security, and reliability.
Experience with other AWS services like EC2, RDS, VPC, IAM and Neo4J database Familiarity with Agile methodologies and DevOps practices Minimum 3 years of extensive experience and exposure of platform engineering on Neo4J &
Design, implement, and manage AWS infrastructure through Terraform IaC Optimize and improve AWS performance, scalability, and availability. Hands on experience on Neo4J Graph database installation and setup on AWS. Support User SQL queries and issues. Ensure data security, integrity, and compliance with data governance policies. Monitor and troubleshoot issues, perform root cause analysis and implement preventive measures. Collaborate with data analysts and data scientists to understand business requirements and optimize data models. Develop and maintain documentation of AWS architecture, processes, and procedures. Partner with data engineers on query design during projects and while performing analytics, and to analyze, troubleshoot and optimize application and ad-hoc queries in production. Design and Configure the IAM policies for interoperability between S3, Neo4J and Glue Catalog, EMR and other services. In-depth experience on AWS
EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.
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