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Subject Matter Expert - Neo4j (5-10 yrs)
Coders Brain
posted 19d ago
Flexible timing
Key skills for the job
Position : Neo4j Subject Matter Expert (SME)
Experience : 5-10 years
Location : Bangalore, India
Key Skills & Technologies :
1. Neo4j Expertise :
- Data Modeling : Extensive experience in designing and optimizing graph data models using Neo4j for efficient storage, retrieval, and querying of graph data.
- Cypher : Strong proficiency in Cypher query language, with the ability to write efficient and optimized queries for complex graph data structures.
- Stored Procedures : Experience in writing and optimizing stored procedures in Neo4j (using Neo4j's procedures or APOC for advanced graph processing and operations).
2. Graph Databases :
- Deep understanding of graph theory and how to apply it to real-world use cases like recommendation engines, fraud detection, network analysis, and more.
- Expertise in Neo4j architecture and its various features (e.g., indexes, constraints, graph algorithms, etc.).
3. Performance Tuning :
- Ability to optimize graph queries and data models for high-performance use cases.
- Familiar with Neo4j's indexing mechanisms, query profiling, and graph algorithm optimizations for efficient traversal and query execution.
4. Graph Algorithms :
- Knowledge of graph algorithms like PageRank, Shortest Path, Community Detection, and other network analysis algorithms.
- Ability to implement and integrate these algorithms within Neo4j for use in real-world applications.
5. Integration & Application :
- Experience in integrating Neo4j with other technologies such as Java, Python, REST APIs, or GraphQL for building graph-powered applications.
- Ability to design scalable and maintainable graph-based applications using Neo4j as the core database.
6. Version Control & CI/CD :
- Proficient in Git for version control and managing graph schema changes.
- Experience in integrating Neo4j into CI/CD pipelines for seamless deployment and testing of graph- based applications.
Key Responsibilities :
1. Graph Data Modeling : Design, implement, and optimize graph data models to support complex applications, ensuring efficient storage and retrieval of graph data in Neo4j.
2. Cypher Query Development : Write optimized Cypher queries to extract meaningful insights from graph data. Implement advanced queries involving traversals, aggregations, and pattern matching.
3. Stored Procedures & APOC : Develop and optimize stored procedures and leverage APOC (Awesome Procedures on Cypher) for advanced graph operations, such as batch processing, data transformation, and more.
4. Graph Algorithms : Implement and optimize graph algorithms (e.g., community detection, centrality measures, recommendation engines) using Neo4j's graph algorithms and ensure performance at scale.
5. Performance Tuning & Optimization : Monitor and optimize the performance of Neo4j queries, including indexing, caching, and fine-tuning queries for better execution speed and efficiency.
6. Collaborate with Teams : Work closely with developers, data engineers, and data scientists to ensure seamless integration of Neo4j into applications, addressing graph-based data needs.
7. Data Migration & Integration : Assist in the migration of data from other databases (e.g., relational or NoSQL) to Neo4j and integrate with other systems using APIs and connectors.
8. Mentorship & Knowledge Sharing : Provide technical mentorship to other team members on best practices for Neo4j modeling, query optimization, and graph algorithms.
9. Documentation : Document the data models, query designs, and best practices for working with Neo4j, ensuring knowledge transfer and maintaining a high level of consistency in the development process.
Desired Soft Skills :
1. Analytical Thinking : Strong problem-solving skills, especially when working with complex, interconnected data structures.
2. Collaboration : Ability to work with cross-functional teams (development, data engineering, product) and provide subject-matter expertise.
3. Attention to Detail : Ensure the correctness and efficiency of graph data models, queries, and stored procedures.
4. Communication : Ability to explain complex graph concepts and query performance optimizations to non-technical stakeholders.
5. Adaptability : Comfortable with continuously learning new features in Neo4j and adapting the system as requirements evolve.
Functional Areas: Other
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