📍 Job Overview

Job Title: Graph Database Developer
Company: Qode
Location: Ramagundam, Telangana, India
Job Type: Remote (Telecommute)
Category: Backend Developer
Date Posted: August 8, 2025
Experience Level: Mid-Senior Level (2-5 years)
Remote Status: Remote (India only)

🚀 Role Summary

Develop and maintain graph databases using large-scale datasets to solve business problems.
Design and build graph data models, schema, and load processes for efficient database population.
Collaborate with cross-functional teams to deliver high-value, business-facing technical projects.
Leverage strong organizational skills and Agile methodologies to work autonomously and in a team-based environment.

📝 Enhancement Note: This role requires a solid understanding of graph data modeling, schema development, and design, with a focus on solving business use cases using large-scale datasets.

💻 Primary Responsibilities

Graph Database Development: Build and maintain graph databases using Neo4j, with proficiency in Cypher, Gremlin, and SparQL graph languages.
Data Modeling & Design: Design and develop graph data models and schema to support various use cases, including knowledge graphs.
Data Pipeline Framework Development: Develop data pipeline frameworks to efficiently populate graph databases.
Collaboration & Project Management: Work with cross-functional teams to deliver high-value, business-facing technical projects, managing client delivery teams as needed.
Query Optimization: Write efficient and accurate Cypher queries to solve business problems and optimize graph database performance.

📝 Enhancement Note: This role requires a mix of technical depth in graph databases and strong project management skills to deliver complex solutions.

🎓 Skills & Qualifications

Education: B.Tech./M.Tech./MS or BCA/MCA degree from a reputed university, with a focus on computer science, data engineering, or a related field.

Experience: 2-5 years of experience in graph database development, data engineering, or a related role, with a strong emphasis on graph data modeling and design.

Required Skills:

Proficiency in graph data modeling, schema development, and design.
Hands-on experience with Neo4j and Cypher query language.
Strong understanding of network science concepts and graph algorithms.
Fluency in complex SQL and experience with RDBMSs.
Experience with Python, Spark, PySpark, Scala, NiFi, Hive, and NoSQL databases.
Deep understanding of representing relational models using graph databases for large clusters of nodes.
Solid grounding in Agile methodologies and experience with git and other source control systems.

Preferred Skills:

Neo4j Certified Developer Certification.
Experience working on Databricks.
Strong delivery background across the delivery of high-value, business-facing technical projects in major organizations.
Experience managing client delivery teams, ideally from a data engineering/data science environment.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate proficiency in graph data modeling and design with case studies showcasing various use cases, including knowledge graphs.
Showcase efficient and accurate Cypher query writing to solve business problems.
Highlight experience importing data into Neo4j and handling Neo4j database instances.
Display understanding of representing relational models using graph databases and creating graph data from relational data.

Technical Documentation:

Include technical documentation for graph database projects, outlining data modeling, schema design, and load processes.
Demonstrate understanding of data pipeline frameworks and how they were implemented in previous projects.
Showcase problem-solving skills and approach to optimizing graph database performance through accurate Cypher queries.

📝 Enhancement Note: A strong portfolio should demonstrate the candidate's ability to design, develop, and maintain graph databases, with a focus on solving business use cases using large-scale datasets.

💵 Compensation & Benefits

Salary Range: INR 8-12 lakhs per annum (based on experience and skills) for remote roles in India. This range is estimated based on regional market standards for mid-senior level graph database developers.

Benefits: (Not specified in the original job listing)

Competitive health insurance and retirement plans.
Flexible work hours and remote work options.
Opportunities for professional development and training.
A dynamic and collaborative work environment.

Working Hours: Full-time (40 hours/week) with flexible hours for project deadlines and maintenance windows.

📝 Enhancement Note: The salary range is estimated based on regional market standards for mid-senior level graph database developers in India. Benefits are inferred based on industry standards for similar roles and company size.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on data engineering, data science, and graph databases.

Company Size: Medium-sized company, with a team-based environment that encourages collaboration and autonomous work.

Founded: Not specified in the original job listing.

Team Structure:

The graph database development team consists of developers with varying levels of experience, working together to deliver high-value, business-facing technical projects.
The team follows Agile methodologies and collaborates with cross-functional teams, including data engineering, data science, and business stakeholders.
The team structure promotes cross-functional collaboration, with developers working closely with designers, marketers, and other teams to deliver comprehensive solutions.

Development Methodology:

The team follows Agile methodologies, with a focus on iterative development, continuous improvement, and customer satisfaction.
Development processes include code reviews, testing, and quality assurance practices, with a strong emphasis on collaboration and knowledge sharing.
Deployment strategies include CI/CD pipelines and automated deployment, with a focus on efficient and reliable database population.

Company Website: Qode

📝 Enhancement Note: The company culture is inferred based on the role's requirements, team structure, and development methodologies, with a focus on collaboration, knowledge sharing, and customer satisfaction.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior Level (2-5 years) graph database developer, with a focus on designing, developing, and maintaining graph databases to solve business use cases using large-scale datasets.

Reporting Structure: This role reports directly to the team lead or manager, with opportunities for technical leadership and mentoring as the candidate gains experience and demonstrates strong performance.

Technical Impact: Graph database developers have a significant impact on web products, user experience, and infrastructure decisions by designing and implementing efficient graph databases that support various use cases, including knowledge graphs.

Growth Opportunities:

Technical Specialization: Develop expertise in specific graph database technologies, such as Neo4j, or emerging graph databases to become a subject matter expert.
Technical Leadership: Demonstrate strong performance and leadership skills to become a technical lead or manager, guiding other developers and driving team success.
Architecture Decisions: Gain experience in making architecture decisions that impact the design and implementation of graph databases, with a focus on scalability, performance, and maintainability.

📝 Enhancement Note: Career growth opportunities are inferred based on the role's requirements, technical impact, and industry standards for graph database developers.

🌐 Work Environment

Office Type: Remote (Telecommute), with a focus on collaboration and autonomous work.

Office Location(s): Ramagundam, Telangana, India (remote work only)

Workspace Context:

Remote work allows for flexible work hours and a focus on results, with minimal commute time and increased work-life balance.
Developers have access to the necessary tools, multiple monitors, and testing devices to ensure efficient and effective work.
The collaborative work environment encourages knowledge sharing, technical mentoring, and continuous learning, with a focus on driving team success.

Work Schedule: Full-time (40 hours/week) with flexible hours for project deadlines and maintenance windows, allowing for a healthy work-life balance.

📝 Enhancement Note: The work environment is inferred based on the role's requirements, remote work arrangement, and industry standards for graph database developers.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment focused on graph data modeling, schema development, and design, as well as Cypher query writing and optimization.
Coding Challenge: A coding challenge focused on designing and implementing a graph database solution for a given business use case, with a focus on efficient data population and query optimization.
Team Fit & Cultural Assessment: An assessment of the candidate's cultural fit and ability to work effectively within the team, with a focus on collaboration, communication, and problem-solving skills.
Final Evaluation: A final evaluation of the candidate's technical skills, cultural fit, and potential for growth within the organization.

Portfolio Review Tips:

Highlight graph data modeling and design case studies that demonstrate the candidate's ability to solve business use cases using large-scale datasets.
Include examples of efficient and accurate Cypher query writing and optimization to showcase the candidate's technical proficiency.
Showcase the candidate's understanding of representing relational models using graph databases and creating graph data from relational data.
Include technical documentation for graph database projects, outlining data modeling, schema design, and load processes.

Technical Challenge Preparation:

Brush up on graph data modeling, schema development, and design concepts, with a focus on Neo4j and Cypher.
Practice writing efficient and accurate Cypher queries to solve business problems and optimize graph database performance.
Familiarize oneself with the company's technology stack and development methodologies to ensure a strong cultural fit.

ATS Keywords: (See the comprehensive list provided in the output format section)

📝 Enhancement Note: The interview process, portfolio review tips, and technical challenge preparation are inferred based on the role's requirements, technical skills, and industry standards for graph database developers.

🛠 Technology Stack & Web Infrastructure

Graph Database Technologies:

Neo4j (Cypher query language)
Gremlin
SparQL

Programming Languages:

Python
Spark
PySpark
Scala
NiFi
Hive

Databases:

Relational Database Management Systems (RDBMS)
NoSQL databases

Development & DevOps Tools:

Git and other source control systems
Agile methodologies (e.g., Scrum, Kanban)
CI/CD pipelines and automated deployment

📝 Enhancement Note: The technology stack is inferred based on the role's requirements, technical skills, and industry standards for graph database developers.

👥 Team Culture & Values

Web Development Values:

User-Centric Design: A focus on designing graph databases that meet business needs and improve user experience.
Performance Optimization: A commitment to writing efficient and accurate Cypher queries and optimizing graph database performance.
Collaboration & Knowledge Sharing: A culture of collaboration, with a focus on knowledge sharing, technical mentoring, and continuous learning.
Innovation & Emerging Technologies: A commitment to staying up-to-date with emerging graph databases and technologies, with a focus on driving innovation and improvement.

Collaboration Style:

Cross-Functional Collaboration: Collaboration with designers, marketers, and other teams to deliver comprehensive solutions that meet business needs.
Code Review Culture: A culture of code review, with a focus on quality, accuracy, and continuous improvement.
Peer Programming & Mentoring: A culture of peer programming and mentoring, with a focus on knowledge sharing and technical skill development.

📝 Enhancement Note: Web development values and collaboration style are inferred based on the role's requirements, team structure, and industry standards for graph database developers.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Designing and implementing graph databases that meet business needs and improve user experience.
Writing efficient and accurate Cypher queries to solve business problems and optimize graph database performance.
Representing relational models using graph databases and creating graph data from relational data.
Importing data into Neo4j and handling Neo4j database instances efficiently and effectively.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in specific graph database technologies, such as Neo4j, or emerging graph databases to become a subject matter expert.
Certifications: Pursue Neo4j Certified Developer Certification to demonstrate technical proficiency and commitment to professional development.
Conferences & Community Involvement: Attend industry conferences and engage with online communities to stay up-to-date with emerging technologies and best practices.
Technical Mentoring: Seek out mentoring opportunities from experienced graph database developers to gain insights and guidance on career growth and technical skill development.

📝 Enhancement Note: Technical challenges and learning & development opportunities are inferred based on the role's requirements, technical skills, and industry standards for graph database developers.

💡 Interview Preparation

Technical Questions:

Graph Data Modeling: Explain the differences between graph data modeling, schema development, and design, with examples of each.
Cypher Query Optimization: Provide examples of efficient and accurate Cypher queries, with an explanation of how they optimize graph database performance.
Data Pipeline Framework Development: Describe the process of developing data pipeline frameworks to efficiently populate graph databases, with a focus on data importation and handling Neo4j database instances.

Company & Culture Questions:

Team Collaboration: Describe your experience working in a collaborative team environment, with a focus on knowledge sharing, technical mentoring, and continuous learning.
Agile Methodologies: Explain your understanding of Agile methodologies and how you have applied them in previous roles.
User Experience Impact: Describe how your graph database development work has improved user experience and driven business value in previous roles.

Portfolio Presentation Strategy:

Graph Data Modeling & Design: Present case studies showcasing your graph data modeling and design skills, with a focus on solving business use cases using large-scale datasets.
Cypher Query Writing & Optimization: Present examples of efficient and accurate Cypher queries, with an explanation of how they optimize graph database performance.
Data Pipeline Framework Development: Present your approach to developing data pipeline frameworks, with a focus on data importation and handling Neo4j database instances.

📝 Enhancement Note: Interview preparation tips are inferred based on the role's requirements, technical skills, and industry standards for graph database developers.

📌 Application Steps

To apply for this graph database developer position:

Submit your application through the application link provided.
Customize your portfolio with live demos and responsive examples showcasing your graph data modeling, schema development, and design skills, as well as your ability to write efficient and accurate Cypher queries.
Optimize your resume for graph database developer roles, highlighting your project experience, technical skills, and achievements in previous roles.
Prepare for the technical interview by brushing up on your graph data modeling, schema development, and design concepts, as well as your ability to write efficient and accurate Cypher queries.
Research the company, with a focus on their web development culture, user experience impact, and business goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and graph database developer industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to graph database developer roles, with a focus on graph data modeling, schema development, and design.
Include web development methodologies, responsive design principles, and server management practices relevant to graph databases.
Emphasize graph portfolio requirements, live project demonstrations, and user experience considerations.
Address graph database development team dynamics, cross-functional collaboration with designers and marketers, and user experience impact measurement.
Focus on graph database career progression, emerging technology adoption, and technical specialization.

Quality Standards:

Ensure no content overlap between sections, with each section containing unique information.
Only include Enhancement Notes when making significant inferences about graph database development processes, team structure, or company information.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute graph database and server administration-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and graph database specialization.

Industry Expertise:

Include specific graph database technologies, frameworks, server platforms, and infrastructure tools relevant to the role.
Address graph database career progression paths and technical leadership opportunities in graph database development teams.
Provide tactical advice for graph portfolio development, live demonstrations, and project case studies.
Include graph database-specific interview preparation and coding challenge guidance.
Emphasize graph data modeling, schema development, and design principles, as well as efficient Cypher query writing and optimization.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use graph database and server administration industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to graph database developers.
Provide actionable insights that give graph database developers a competitive advantage.
Focus on graph database development team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize graph data modeling, schema development, and design principles, with a focus on solving business use cases using large-scale datasets.
Include specific portfolio requirements tailored to the graph database discipline and role level.
Address browser compatibility, accessibility standards, and user experience design principles relevant to graph databases.
Focus on problem-solving methods, performance optimization, and scalable graph database architecture.
Include technical presentation skills and stakeholder communication for graph database projects.

Avoid:

Generic business jargon not relevant to graph database developer roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific graph database role.
Marketing language unrelated to graph database development, server administration, or user experience.

Generate comprehensive, graph database-focused content that serves as a valuable resource for graph database developers seeking their next opportunity and preparing for technical interviews in the graph database industry.

Graph Database Developer