Senior Graph Database Engineer

DATAECONOMY

Job Location:

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior Graph Database Engineer (Neo4j)
Experience Level: 8 - 12 years
Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are looking for an experienced Graph Database Engineer with deep expertise in Neo4j data modelling and AWS cloud technologies. The ideal candidate understands complex data relationships at an architectural level can make decisive platform choices and excels at designing scalable cloud-native solutions that bridge business goals with engineering excellence.

Key Responsibilities

Design & architect graph data models in Neo4j for complex interconnected datasets ensuring scalability performance and maintainability.
Own end-to-end data architecture decisions for graph and cloud-native platforms translating business requirements into robust technical blueprints.
Build and optimise data pipelines integrating graph databases with AWS services (Lambda S3 Glue ECS/EKS EC2) and external APIs.
Lead graph query optimisation using Cypher writing performant queries tuning indexes and profiling execution plans.
Collaborate with cross-functional teams product data science and engineering to define data standards schemas and best practices.
Champion data governance lineage and quality standards across the graph data platform.
Mentor junior engineers and contribute to architectural reviews design documents and technical roadmaps.

Requirements

Neo4j expertise: hands-on experience with Neo4j Cypher query language APOC library and graph data modelling patterns.
Data architecture: proven ability to model complex relational and graph datasets and make high-impact platform decisions.
AWS cloud services: practical experience with Lambda S3 EC2 Glue ECS/EKS and designing cloud-native architectures.
Data integration: experience designing APIs ETL/ELT pipelines and scalable data ingestion patterns.
Problem-solving & communication: ability to break down ambiguous problems and communicate architectural tradeoffs clearly to both technical and non-technical stakeholders.

Benefits

Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

Job Title: Senior Graph Database Engineer (Neo4j) Experience Level: 8 - 12 years Location: Hyderabad / Pune Qualification: BTech/MTech/MCA Mode of Work: Hybrid We are looking for an experienced Graph Database Engineer with deep expertise in Neo4j data modelling and AWS cloud technolog...

Job Title: Senior Graph Database Engineer (Neo4j)
Experience Level: 8 - 12 years
Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

Key Responsibilities

Design & architect graph data models in Neo4j for complex interconnected datasets ensuring scalability performance and maintainability.
Own end-to-end data architecture decisions for graph and cloud-native platforms translating business requirements into robust technical blueprints.
Build and optimise data pipelines integrating graph databases with AWS services (Lambda S3 Glue ECS/EKS EC2) and external APIs.
Lead graph query optimisation using Cypher writing performant queries tuning indexes and profiling execution plans.
Collaborate with cross-functional teams product data science and engineering to define data standards schemas and best practices.
Champion data governance lineage and quality standards across the graph data platform.
Mentor junior engineers and contribute to architectural reviews design documents and technical roadmaps.

Requirements

Neo4j expertise: hands-on experience with Neo4j Cypher query language APOC library and graph data modelling patterns.
Data architecture: proven ability to model complex relational and graph datasets and make high-impact platform decisions.
AWS cloud services: practical experience with Lambda S3 EC2 Glue ECS/EKS and designing cloud-native architectures.
Data integration: experience designing APIs ETL/ELT pipelines and scalable data ingestion patterns.
Problem-solving & communication: ability to break down ambiguous problems and communicate architectural tradeoffs clearly to both technical and non-technical stakeholders.

Benefits

Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.