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AWS Neptune Expert Job Description

Role Summary

The AWS Neptune Expert is responsible for designing, developing, and optimizing graph database solutions using Amazon Neptune. The role involves building scalable graph-based data models, integrating Neptune with enterprise data systems, and supporting advanced analytics use cases such as recommendation engines, fraud detection, and relationship mapping.

Key Responsibilities

1. Graph Database Architecture

• Design and implement scalable graph database solutions using Amazon Neptune.

• Develop graph data models including nodes, edges, and properties.

• Design high-performance graph queries using Gremlin and SPARQL.

• Optimize graph traversal and query performance.

2. Data Engineering & Integration

• Integrate Neptune with data sources such as:

  • Data warehouses

  • Data lakes

  • Transactional systems

• Build ingestion pipelines using AWS Glue, AWS Lambda, or Amazon Kinesis.

• Implement bulk data loading using Neptune loaders.

3. Application Development

• Develop backend services using languages such as:

  • Python

  • Java

  • Node.js

• Build APIs that interact with Neptune graph databases.

• Implement graph analytics and recommendation algorithms.

4. Performance Optimization

• Monitor database performance and query execution.

• Optimize graph indexing and query patterns.

• Implement caching strategies and scaling mechanisms.

5. Security & Governance

• Implement access control using AWS IAM.

• Configure encryption, backup, and disaster recovery.

• Ensure compliance with enterprise security policies.

Required Skills

Core Skills

• Strong expertise in Amazon Neptune

• Graph database concepts

• Graph data modeling

• Gremlin or SPARQL query development

• Data architecture and distributed systems

Technical Skills

• Programming: Python, Java, or Node.js

• AWS ecosystem knowledge

• REST API development

• Data pipeline development

AWS Services Knowledge

Experience with:

• AWS Glue

• AWS Lambda

• Amazon S3

• Amazon EC2

• Amazon Kinesis

Preferred Qualifications

• Experience with other graph databases like Neo4j or JanusGraph

• Knowledge of semantic web technologies (RDF, OWL)

• Experience building knowledge graphs or recommendation systems

• Familiarity with big data platforms such as Apache Spark

Experience Requirements

• Expert / Architect: 8 12+ years in data engineering or database architecture

• 3 5 years experience with graph databases

• Hands-on experience implementing solutions with Amazon Neptune