Posted on: 22/12/2025
Description :
Roles & Responsibilities :
1) Graph Data Modeling and Design :
- Design and implement efficient and scalable graph data models using appropriate graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph, etc.).
- Translate business requirements into effective graph schemas and data structures.
- Optimize graph models for performance and query efficiency.
2) Graph Database Development and Management :
- Develop and maintain graph database instances, including installation, configuration, and performance tuning.
- Implement data ingestion and transformation pipelines to populate graph databases from various data sources.
- Develop and optimize Cypher, Gremlin, or other graph query languages for complex data retrieval and analysis.
- Implement data security and access control mechanisms for graph databases.
- Monitor and maintain the health of graph databases.
3) Data Integration and ETL/ELT :
- Design and implement ETL/ELT processes to integrate data from diverse sources into graph databases.
- Develop and maintain data pipelines using tools like Apache Kafka, Apache Airflow, or similar technologies.
- Ensure data quality and consistency throughout the data integration process.
4) Graph Analytics and Application Development :
- Collaborate with data scientists and analysts to develop graph-based analytics solutions.
- Develop and implement APIs and applications that leverage graph database capabilities.
- Develop and implement algorithms for graph traversals, community detection, and other graph analytics tasks.
- Participate in code reviews.
5) Performance Optimization and Troubleshooting :
- Identify and resolve performance bottlenecks in graph database systems.
- Monitor and optimize query performance.
- Troubleshoot and resolve data-related issues.
6) Documentation and Best Practices :
- Document graph data models, data pipelines, and database configurations.
- Establish and enforce best practices for graph database development and management.
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