<About the job>
As the Graph DB Engineer, you'll join the advanced "Information Retrieval Projects" as well as the development of intelligent applications via AI and Big Data Analytics Technology for digital transformation. It's is a rapidly growing area, so you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 22nd).

<Job Description>
Graph DB Application Development: Implement the Graph DB related project to deploy the Graph DB and execute the data pipeline processing, design the data architecture of Graph DB, including graph data modeling, graph schema development, graph data design for transactional (OLTP) and analytical (OLAP) workloads and develop for analytical applications.

<Skills>
(1)Strong experience in Graph Databases like Neo4j, ArangoDB, Azure COSMOS, etc.
(2)Familiar with Graph Query Languages, Open Graph APIs, SPARQL (or Gremlin or DQL or GSQL or CQL)
(3)Understanding of NoSQL databases, Graph OLTP, and OLAP processes.
(4)Hands-on expertise to model data in the form of graph nodes and vertices.
(5)Familiar with Programming and scripting languages like Python/Nodejs/Java.

<Requirements>
．3+ years of related working and hands-on experience.
．Master degree in Computer Science, Information Management, Electronics Engineering, Library and Information Science or related quantitative field with relevant experience.

**Nice to have:(not required)
(1)5 years of relevant experience in the general database(Relational DB/NoSQL) design with emphasis on graph storage models.
(2)Familiar with graph visualization and analysis tools.