Neo4J Data Engineer

Location: Pittsburgh, PA/ Dallas, TX

Incedo is a US based consulting, analytics and technology services firm incorporated in 2011. We are Head quartered out of New Jersey with 4000+ employees based globally out of the offices in New Jersey, California, Gurgaon, Pune, Bangalore and Chennai. As a firm we have been helping our clients achieve competitive advantage through End-to-End Digital Transformation and work across Financial Services, Telecom, Life Science & Healthcare and Product Engineering sectors. Our uniqueness lies in bringing together strong engineering, data science and design capabilities with deep domain understanding, and blurring the boundaries between services and products to maximize business impact from emerging technologies.

Our Mission is to enable our clients to maximize business impact from technology by

• Harnessing the transformational impact of emerging technologies
• Bridging the gap between business and technology.

And become an employer of choice by being ‘employee first’ in all processes and practices.

Qualifications

• Minimum 3+ years of working experience with knowledge graphs/graph databases
• Expertise with Graph database technology especially Neo4J
• Expertise with Python, and related software engineering platforms/frameworks
• Experience in designing and building highly scalable Knowledge Graphs in production
• Experience developing APIs leveraging knowledge graph data
• Experience with querying knowledge graphs using a graph query language (e.g
• Experience working with end-to-end CI/CD pipelines using frameworks
• The ideal candidate will have a strong knowledge of Graph solutions especially Neo4j, Python and have experience working with massive amounts of data in the retail space
• Candidate must have a strong curiosity for data and a proven track record of successfully implementing graph database solutions with proficiency in software engineering.

Responsibilities

• Build Knowledge Graph solutions leveraging large-scale datasets
• Design and build graph database schemas to support various use cases including knowledge graphs.
• Design and develop a Neo4j data model for a new application as per the use cases.
• Design and build graph database load processes to efficiently populate the knowledge graphs
• Migrate an existing relational database (BigQuery) to Neo4j
• Build design/integration patterns for both batch and real-time update processes to keep the knowledge graphs in sync
• Work with stakeholders to understand the requirements and translate them into technical architecture
• Select and configure appropriate Neo4j features and capabilities as applicable for the given use case(s)
• Optimize the performance of a Neo4j-based recommendation engine
• Set up a Neo4j cluster in the cloud
• Configure Neo4j security features to protect sensitive data
• Ensure the security and reliability of Neo4j deployments
• Provide guidance and support to other developers on Neo4j best practices