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:
- 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:
- 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.
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