Time since we first saw it
Day 8
Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Graph Database Engineer
Pune City, Maharashtra, India
Actively hiring, first seen by us 8 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and implement scalable graph database architectures in Neo4j
Develop, optimize, and maintain complex Cypher queries
Model complex datasets into efficient graph structures
Monitor and tune database performance, indexing, and query plans
Manage backups, recovery, clustering, and scaling
From the employer’s posting
Design and implement scalable graph database architectures using Neo4j.
Develop, optimize, and maintain complex Cypher queries for high-performance data retrieval.
Model complex datasets into efficient graph structures aligned with business use cases.
Monitor and tune database performance, including indexing strategies and query execution plans.
Manage database operations such as backups, recovery, clustering, and scaling.
What you’ll bring
All qualificationsCore experience
- Strong hands-on Neo4j experience in production environments
- At least 2+ years with Neo4j or other graph databases
- Proficiency in writing and optimizing Cypher queries for large datasets
- Database administration: backup, recovery, and clustering
- Understanding of graph data structures and traversal techniques
Qualification wording
Strong hands-on experience with Neo4j in production environments.
At least 2+ years of hands-on experience with Neo4j or other graph databases.
Proficiency in writing and optimizing Cypher queries for large-scale datasets.
Knowledge of database administration including backup, recovery, and clustering.
Solid understanding of graph data structures, relationships, and traversal techniques.
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20268 days ago
- Recorded sightings
- 9
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Agivant is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- Azure
- GCP
- Neo4j
- NoSQL
Where the posting names them
We are seeking a Graph Database Engineer with deep expertise in Neo4j to design, build, and optimize scalable graph data solutions. This role focuses on developing high-performance graph infrastructures that power knowledge graphs and AI-driven applications. The ideal candidate will bring strong hands-on experience with Cypher query optimization, graph data modeling, and database administration. You will work closely with data, engineering, and AI teams to enable efficient data relationships and insights at scale. Key Responsibilities Design and implement scalable graph database architectures using Neo4j. Develop, optimize, and maintain complex Cypher queries for high-performance data retrieval. Model complex datasets into efficient graph structures aligned with business use cases. Monitor and tune database performance, including indexing strategies and query execution plans. Manage database operations such as backups, recovery, clustering, and scaling. Collaborate with data scientists and AI teams to support knowledge graph and RAG-based applications. Ensure data integrity, consistency, and security across graph systems. Troubleshoot performance bottlenecks and implement improvements in query and schema design. Automate routine database maintenance and monitoring tasks. Document graph schemas, data flows, and operational procedures for internal stakeholders. Requirements Required Qualifications Strong hands-on experience with Neo4j in production environments. Proficiency in writing and optimizing Cypher queries for large-scale datasets. Solid understanding of graph data structures, relationships, and traversal techniques. Experience with indexing, query planning, and performance tuning in graph databases. Knowledge of database administration including backup, recovery, and clustering. Familiarity with integrating graph databases into application ecosystems via APIs or services. Experience working with large, complex datasets in distributed environments. Understanding of data modeling principles for knowledge graphs or connected data systems. Preferred Qualifications Experience with graph-based AI/ML use cases such as recommendation systems or fraud detection. Exposure to Neo4j Aura or other managed graph database services. Familiarity with ETL pipelines and data ingestion into graph databases. Experience working with cloud platforms (AWS, GCP, or Azure). Knowledge of other database systems (SQL/NoSQL) and data integration patterns. Experience Requirements 3–6 years of experience in database engineering or backend development. At least 2+ years of hands-on experience with Neo4j or other graph databases. Proven experience working on data-intensive applications or graph-based systems.
Your next step
Complete your application on agivant.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking a Graph Database Engineer with deep expertise in Neo4j to design, build, and optimize scalable graph data solutions. This role focuses on developing high-performance graph infrastructures that power knowledge graphs and AI-driven applications. The ideal candidate will bring strong hands-on experience with Cypher query optimization, graph data modeling, and database administration. You will work closely with data, engineering, and AI teams to enable efficient data relationships and insights at scale. Key Responsibilities Design and implement scalable graph database architectures using Neo4j. Develop, optimize, and maintain complex Cypher queries for high-performance data retrieval. Model complex datasets into efficient graph structures aligned with business use cases. Monitor and tune database performance, including indexing strategies and query execution plans. Manage database operations such as backups, recovery, clustering, and scaling. Collaborate with data scientists and AI teams to support knowledge graph and RAG-based applications. Ensure data integrity, consistency, and security across graph systems. Troubleshoot performance bottlenecks and implement improvements in query and schema design. Automate routine database maintenance and monitoring tasks. Document graph schemas, data flows, and operational procedures for internal stakeholders. Requirements Required Qualifications Strong hands-on experience with Neo4j in production environments. Proficiency in writing and optimizing Cypher queries for large-scale datasets. Solid understanding of graph data structures, relationships, and traversal techniques. Experience with indexing, query planning, and performance tuning in graph databases. Knowledge of database administration including backup, recovery, and clustering. Familiarity with integrating graph databases into application ecosystems via APIs or services. Experience working with large, complex datasets in distributed environments. Understanding of data modeling principles for knowledge graphs or connected data systems. Preferred Qualifications Experience with graph-based AI/ML use cases such as recommendation systems or fraud detection. Exposure to Neo4j Aura or other managed graph database services. Familiarity with ETL pipelines and data ingestion into graph databases. Experience working with cloud platforms (AWS, GCP, or Azure). Knowledge of other database systems (SQL/NoSQL) and data integration patterns. Experience Requirements 3–6 years of experience in database engineering or backend development. At least 2+ years of hands-on experience with Neo4j or other graph databases. Proven experience working on data-intensive applications or graph-based systems.
Source details
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- Pay
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- Location & working pattern
Pune City, Maharashtra, India
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- Work authorization
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