Software Engineer

We are seeking a highly motivated and skilled Tiger Graph Developer to join our team. The successful candidate will be responsible for developing and maintaining Tiger Graph-based solutions to support our organization's data management needs. The Tiger Graph Developer will work closely with other members of the team to design and implement data models, integrate data from various sources, and optimize performance.

Responsibilities:

• Develop and maintain Tiger Graph-based solutions to meet business needs.

• Design and implement data models for efficient and effective data management.

• Integrate data from various sources and ensure data quality.

• Optimize performance of Tiger Graph-based solutions to meet high volume and high-speed data processing requirements.

• Write and maintain documentation to ensure the proper use and maintenance of Tiger Graph-based solutions.

• Collaborate with other developers, analysts, and stakeholders to ensure solutions meet business requirements.

• Stay up-to-date with the latest trends and advancements in Tiger Graph technology.

Requirements:

• Bachelor's degree in Computer Science or a related field.

• Proven experience as a hands-on Tiger Graph Developer with at least 3 years of relevant work experience.

• Solid knowledge of Tiger Graph architecture and its features.

• Experience with Graph Data Modeling, Graph Query Language (GQL), and Tiger Graph's RESTful API.

• Experience with data integration and ETL processes.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

• Self-motivated and able to work in a fast-paced environment.

Preferred qualifications:

• Experience with cloud-based Tiger Graph solutions.

• Knowledge of other graph databases such as Neo4j, JanusGraph, or Amazon Neptune.

• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

If you are passionate about Tiger Graph technology and enjoy solving complex data management challenges, we encourage you to apply for this exciting opportunity!