Cisco_87_Python Data base Engineer with Neo4j expertise

Role Summary

We are seeking a highly skilled Graph Database Engineer with strong expertise in Python development, Neo4j graph databases, and backend engineering. The ideal candidate will be responsible for designing, building, and maintaining graph-based data solutions while developing scalable backend services and data pipelines.

The candidate should possess hands-on experience with Neo4j, Cypher query development, graph data modeling, API integration, and database performance optimization. This role requires close collaboration with data scientists, analysts, and engineering teams to deliver graph-powered solutions for use cases such as recommendation systems, fraud detection, knowledge graphs, and network analysis.

Key Responsibilities

Backend Development & Data Engineering

- Design, develop, and maintain scalable backend services using Python.
- Build and manage robust data pipelines to support graph-based applications.
- Develop and maintain RESTful APIs and backend integrations.
- Ensure high-quality, maintainable, and reusable code through engineering best practices.

Graph Database Engineering
- Design and implement graph database solutions using Neo4j.
- Develop graph schemas and data models aligned with business requirements.
- Build and maintain graph structures representing complex relationships and connected data.
- Support enterprise graph-based use cases including recommendation engines, fraud detection, knowledge graphs, and relationship analysis.

Query Development & Optimization
- Develop, test, and optimize Cypher queries for complex graph traversals and analytics.
- Implement efficient querying strategies to improve performance and scalability.
- Optimize indexing, relationships,



and graph structures for enhanced query execution.

Integration & Solution Development
- Integrate Neo4j with backend services using Neo4j drivers, APIs, and Bolt Protocol.
- Design seamless data flow between applications, APIs, and graph databases.
- Collaborate with cross-functional teams to deliver end-to-end graph-based solutions.

Performance & Database Administration
- Monitor graph database health and performance.
- Troubleshoot database issues, bottlenecks, and query execution challenges.
- Perform indexing, query tuning, and database optimization.
- Ensure system reliability, scalability, and operational efficiency.

Collaboration & Engineering Excellence
- Work closely with data scientists, analysts, architects, and software engineers.
- Participate in code reviews and technical design discussions.
- Contribute to engineering standards, best practices, and continuous improvement initiatives.
- Support documentation and knowledge-sharing across teams.

Mandatory Skills

Core Software Engineering
- Python Development
- Backend Engineering
- RESTful API Development
- Object-Oriented Programming
- Git Version Control
- Software Development Best Practices

Graph Database Technologies
- Neo4j
- Graph Database Concepts
- Graph Schema Design
- Graph Data Modeling
- Relationship Modeling
- Graph Analytics

Query Languages & Data Access
- Cypher Query Language
- Query Optimization
- Complex Graph Traversals
- Database Indexing




- Neo4j Drivers
- Bolt Protocol

Data Engineering
- Data Pipelines
- Data Processing
- Data Transformation
- Data Integration

Database Performance
- Database Performance Tuning
- Query Performance Optimization
- Troubleshooting
- Monitoring
- Scalability Optimization

Valuable-to-Have Skills

- Apache Airflow
- Apache Kafka
- Pandas
- ETL/Data Pipeline Frameworks
- Data Warehousing Concepts
- Cloud-Based Data Platforms
- Graph Data Science Techniques

Nice-to-Have Skills

- Recommendation Engine Development
- Fraud Detection Systems
- Knowledge Graph Implementation
- Network and Relationship Analysis
- Microservices Architecture
- Containerization (Docker/Kubernetes)
- CI/CD Practices
- Cloud Platforms (Azure, AWS, or GCP)

Soft Skills

- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work independently and manage priorities effectively.
- Strong stakeholder engagement and teamwork capabilities.
- Ability to translate business requirements into scalable technical solutions.
- Continuous learning mindset and passion for emerging technologies.

Preferred Candidate Profile

- Proven experience developing graph-based applications and solutions using Neo4j.
- Strong hands-on expertise in Python backend development and API integration.
- Experience designing and optimizing graph data models for enterprise-scale workloads.
- Knowledge of graph analytics, connected data use cases, and relationship-driven architectures.
- Ability to independently design, implement, and support production-grade graph database solutions.
- Experience working within cross-functional teams to deliver scalable and high-performing data products.

📌 Senior Python Backend Data Base Engineer (Pune)
🏢 NewVison
📍 Pune