Principal Consultant Graph_DB_Engineer

Inviting applications for the Principal Consultant role of Graph DB Engineer

Job description

You will be responsible for designing, implementing and optimizing graph database solutions to support complex data relationships and advanced analytics. You will collaborate with cross-functional teams to deliver scalable, high-performance data architectures that drive business insights and innovation.

Responsibilities

1. Design, develop, and maintain graph database models and architectures for enterprise applications

1. Implement and optimize graph queries, algorithms, and data pipelines for performance and scalability

1. Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver graph-based solutions

1. Ensure data integrity, security, and compliance within graph database environments

1. Monitor, troubleshoot, and resolve issues related to graph database performance and reliability

1. Develop and maintain documentation for graph data models, processes, and best practices

1. Stay current with advancements in graph database technologies and recommend improvements

1. Support integration of graph databases with other data platforms and analytics tools

Minimum Qualifications

• Bachelor%27s degree in computer science, Engineering, or a related field

• Programming: Proficiency in Python, Java, or Scala.

• Graph Query Languages: Cypher, Gremlin, SPARQL.

• Database Technologies: Neo4j, TigerGraph, Amazon Neptune, ArangoDB.

• Cloud Platforms: AWS / Azure / GCP for scalable deployments.

• Data Engineering: ETL pipelines, real-time streaming (Kafka, Spark).

• Security: Role-based access, encryption, compliance with data regulationsProven experience in designing and implementing graph database solutions (e.g., Neo4j, Amazon Neptune, TigerGraph)

• Proficiency in programming languages such as Python, Java, or similar

• Experience in GenAi projects (Not mandatory)