AWS Neo4j Engineer

Responsibilities

• Key Responsibilities
• Migration & Architecture: Design and execute secure migration strategies to move on-premise or relational data workloads to Neo4j on AWS (AuraDB, EC2, or EKS).
• Testing & Optimization: Lead performance tuning, index optimization, and load testing of Cypher queries to ensure high availability and low latency.
• Demos & Proof of Concepts (POC): Build and showcase powerful graph database demos to stakeholders to highlight business value and insights.
• Onboarding & Handholding: Provide close, side-by-side technical support to developers, data analysts, and product teams during the initial launch phase.
• UAT & Go-Live: Define UAT criteria, write test scripts, validate data integrity, and hand-hold business users through final validation for a smooth production rollout.
• Required Technical Skills
• Neo4j Expertise: Deep knowledge of graph modeling, Cypher query language, APOC libraries, and Neo4j administration tools.
• AWS Cloud Mastery: Hands-on experience with AWS infrastructure (EC2, EKS, VPC, IAM, S3) and secure networking for database deployments.
• Data Integration: Proven experience using data pipeline and ETL tools (like Spark, AWS DMS, or Data Sync) to ingest data into graph databases.
• Testing Tools: Familiarity with database benchmarking and load-testing tools to simulate production workloads.
• Key Responsibilities Migration & Architecture: Design and execute secure migration strategies to move on-premise or relational data workloads to Neo4j on AWS (AuraDB, EC2, or EKS). Testing & Optimization: Lead performance tuning, index optimization, and load testing of Cypher queries to ensure high availability and low latency. Demos & Proof of Concepts (POC): Build and showcase powerful graph database demos to stakeholders to highlight business value and insights. Onboarding & Handholding: Provide close, side-by-side technical support to developers, data analysts, and product teams during the initial launch phase. UAT & Go-Live: Define UAT criteria, write test scripts, validate data integrity, and hand-hold business users through final validation for a smooth production rollout. Required Technical Skills Neo4j Expertise: Deep knowledge of graph modeling, Cypher query language, APOC libraries, and Neo4j administration tools. AWS Cloud Mastery: Hands-on experience with AWS infrastructure (EC2, EKS, VPC, IAM, S3) and secure networking for database deployments. Data Integration: Proven experience using data pipeline and ETL tools (like Spark, AWS DMS, or Data Sync) to ingest data into graph databases. Testing Tools: Familiarity with database benchmarking and load-testing tools to simulate production workloads.