Location: Sunnyvale CA / Austin TX Client: Infosys / Apple Rate: $60/hr on C2C
Webex hire
Job Summary:
We are looking for an experienced Graph Database / TigerGraph Data Engineer with strong expertise in designing scalable graph data models developing GSQL queries and integrating large-scale data pipelines. The ideal candidate should have hands-on experience with TigerGraph graph analytics big data ecosystems and distributed data processing platforms.
Required Skills
Strong hands-on experience with TigerGraph and GSQL.
Experience in graph data modeling and graph analytics.
Strong programming skills in Python Java or Scala.
Experience with:
Apache Kafka
Apache Spark
Hadoop
MySQL / NoSQL databases
Experience building REST APIs and microservices.
Familiarity with cloud platforms like AWS Azure or GCP.
Knowledge of distributed systems and large-scale data processing.
Strong understanding of SDLC and Agile methodologies.
Preferred Skills
Experience with other graph databases such as:
Neo4j
Amazon Neptune
Experience with AI/ML graph use cases and knowledge graphs.
Exposure to vector search and Graph RAG architectures.
Knowledge of Kubernetes and Docker.
Key Responsibilities
Design and implement scalable graph data models using TigerGraph.
Develop and optimize complex GSQL queries for large-scale graph analytics.
Build and maintain high-performance graph-based data solutions.
Integrate graph databases with enterprise systems APIs and streaming platforms.
Develop data ingestion pipelines from RDBMS NoSQL Kafka Hadoop and cloud storage systems.
Monitor and tune graph query performance for scalability and low latency.
Implement REST APIs and graph services using Python/Java/Scala.
Collaborate with data engineers architects and business stakeholders to define graph solutions.
Troubleshoot production issues and optimize graph workloads.
Ensure data quality security and governance standards.
Nice to Have
Experience with Graph-based recommendation systems fraud detection or network analytics.
Experience in telecom retail or enterprise-scale platforms.
Reference Skills Observed in Similar Openings
Recent Graph DB / TigerGraph openings emphasize GSQL development graph modeling Kafka integration REST APIs and large-scale analytics platforms.
Graph DB / TigerGraph DB Data Engineer Location: Sunnyvale CA / Austin TX Client: Infosys / Apple Rate: $60/hr on C2C Webex hire Job Summary: We are looking for an experienced Graph Database / TigerGraph Data Engineer with strong expertise in designing scalable graph data models developing GSQL ...
Graph DB / TigerGraph DB Data Engineer
Location: Sunnyvale CA / Austin TX Client: Infosys / Apple Rate: $60/hr on C2C
Webex hire
Job Summary:
We are looking for an experienced Graph Database / TigerGraph Data Engineer with strong expertise in designing scalable graph data models developing GSQL queries and integrating large-scale data pipelines. The ideal candidate should have hands-on experience with TigerGraph graph analytics big data ecosystems and distributed data processing platforms.
Required Skills
Strong hands-on experience with TigerGraph and GSQL.
Experience in graph data modeling and graph analytics.
Strong programming skills in Python Java or Scala.
Experience with:
Apache Kafka
Apache Spark
Hadoop
MySQL / NoSQL databases
Experience building REST APIs and microservices.
Familiarity with cloud platforms like AWS Azure or GCP.
Knowledge of distributed systems and large-scale data processing.
Strong understanding of SDLC and Agile methodologies.
Preferred Skills
Experience with other graph databases such as:
Neo4j
Amazon Neptune
Experience with AI/ML graph use cases and knowledge graphs.
Exposure to vector search and Graph RAG architectures.
Knowledge of Kubernetes and Docker.
Key Responsibilities
Design and implement scalable graph data models using TigerGraph.
Develop and optimize complex GSQL queries for large-scale graph analytics.
Build and maintain high-performance graph-based data solutions.
Integrate graph databases with enterprise systems APIs and streaming platforms.
Develop data ingestion pipelines from RDBMS NoSQL Kafka Hadoop and cloud storage systems.
Monitor and tune graph query performance for scalability and low latency.
Implement REST APIs and graph services using Python/Java/Scala.
Collaborate with data engineers architects and business stakeholders to define graph solutions.
Troubleshoot production issues and optimize graph workloads.
Ensure data quality security and governance standards.
Nice to Have
Experience with Graph-based recommendation systems fraud detection or network analytics.
Experience in telecom retail or enterprise-scale platforms.
Reference Skills Observed in Similar Openings
Recent Graph DB / TigerGraph openings emphasize GSQL development graph modeling Kafka integration REST APIs and large-scale analytics platforms.