Mumbai Maharashtra Graph data engineer Jobs – 36 Open Jobs Today

Graph Data Engineer
Weekday —Mumbai, Maharashtra
- ₹10,00,000 - ₹50,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Cisco ACI L3 Engineer
vrk powers —Mumbai, Maharashtra
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Computer Science
- B.Sc
- Master's degree
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1d
Forward Deploy Engineer, Aladdin Data, Associate
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Azure
- Computer Science
- Java
- Work from home
9d
IN_Senior Associate_Data Engineer_D&A_Advisory_Mumbai
PwC —Shivaji Park, Mumbai, Maharashtra
- Full-time
- Engineering
- Master's degree
- SQL
AI Engineer
Team Computers Pvt Ltd —Mumbai, Maharashtra
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Paid sick time
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Software Engineer – Internal Platforms & Tools
Therm-x India Engineering and Manufacturing Pvt. Ltd. —Andheri, Mumbai, Maharashtra
- ₹21,500 - ₹45,000 a month
- Full-time
- Computer Science
- CAD
- ERP systems
- Paid time off
- Work from home
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6h
Trainee Test Engineer
QualityKiosk Technologies —Mumbai, Maharashtra
- Java
- C++
- Python
Senior Data Engineer
Quantiphi —Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- Master's degree
RAG + Agentic AI Engineer (India)
Codvo.ai —Mumbai, Maharashtra
- Full-time
- Remote
- Master's degree
- SharePoint
- AI
AI Engineer – Copilot, Bot & Automation Developer
CleanMax —Churchgate, Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- SQL
Engineer-Planning
Eco Protectors —Mumbai, Maharashtra
- ₹50,000 - ₹90,000 a month
- Full-time
- Microsoft Powerpoint
- Civil engineering
- Microsoft Office
- Health insurance
Quick apply
Software Engineer — Frontend
Clearwater Analytics India Private Limited —Mumbai, Maharashtra
- Full-time
- Java
- APIs
- AI
Quick apply
Senior Software Engineer – Java, Big Data
Xalted —Mumbai, Maharashtra
- Oracle
- B.Sc
- Java
Software Engineer Developer
AryaXAI —Unknown, Maharashtra
- Full-time
- Hybrid work
- Databases
- AWS
- C++
Quick apply
AI/ML Engineer
Larsen & Toubro —Powai, Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Computer Science
1d
Generative AI Engineer
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Full Stack Software Engineer
Blue Matter —Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- SQL
- Health insurance
- Paid time off
Software Engineer III - AI/ML, Prompt Engineer
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Computer Science
- B.Sc
- Master's degree
Systems Engineer
Pagalguy —Mumbai, Maharashtra
- Java
- Databases
- APIs
Sr. D&T Data Scientist
General Mills —Mumbai, Maharashtra
- Remote
- Computer Science
- Research
- Master's degree

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Graph Data Engineer

Weekday -
Mumbai, Maharashtra

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Job details

Full-time
₹10,00,000 - ₹50,00,000 a year
2 days ago

Qualifications

Performance tuning
Data modelling
Azure
Computer Science
Kubernetes
Database development
Relational databases
Google Cloud Platform
Master's degree
Databases
SQL
AWS
Analysis skills
Docker
Bachelor's degree
Neo4j
Software development
APIs
ETL
Agile
JSON
Apache
AI
Communication skills
Graph databases
Python
Information Technology

Full job description

This role is for one of our clients

Industry: Software Development

Seniority level: Associate level

Min Experience: 3+ years

Location: Mumbai,Bangalore

JobType: full-time

We are seeking a highly skilled Graph Data Engineer to design, build, and optimize graph-based data solutions that power complex relationships, connected datasets, and advanced analytics. You will play a key role in developing scalable data pipelines, graph models, and query frameworks that enable efficient exploration of interconnected data across large-scale systems.

The ideal candidate has strong expertise in Python and SQL, along with hands-on experience in data engineering, ETL development, and database optimization. Exposure to graph database technologies such as Amazon Neptune, TigerGraph, or Neo4j is highly desirable. This role offers the opportunity to work on cutting-edge data architectures and solve challenging problems involving highly connected data.

Requirements

Key Responsibilities

Design, develop, and maintain scalable graph data pipelines and data integration workflows.
Build and optimize graph data models to represent complex business relationships efficiently.
Develop robust data ingestion, transformation, and validation processes using Python.
Write optimized SQL queries for data extraction, transformation, reporting, and analytics.
Design efficient graph traversals and queries to support business applications and analytical workloads.
Collaborate with software engineers, data scientists, and product teams to understand data requirements and translate them into scalable graph solutions.
Monitor data quality, consistency, and integrity across multiple data sources.
Optimize database performance, indexing strategies, and query execution for high-volume datasets.
Develop reusable data engineering frameworks and automation scripts.
Troubleshoot production issues and continuously improve system performance and reliability.
Document graph schemas, data pipelines, and engineering best practices.

Required Skills

Must-Have Skills

Strong proficiency in Python for data engineering, automation, scripting, and backend data processing.
Excellent knowledge of SQL, including complex joins, query optimization, stored procedures, and performance tuning.
Solid understanding of data modeling, ETL pipelines, and data integration techniques.
Experience working with relational databases and large-scale datasets.
Knowledge of distributed data processing concepts and scalable data architectures.
Strong analytical and problem-solving abilities with attention to data quality and performance.

Good-to-Have Skills

Experience with graph databases such as Amazon Neptune, TigerGraph, or Neo4j.
Knowledge of graph query languages such as Cypher, Gremlin, or GSQL.
Familiarity with cloud platforms including AWS, Azure, or Google Cloud.
Exposure to data orchestration tools such as Apache Airflow or similar workflow management platforms.
Experience working with APIs, JSON, and semi-structured data.
Understanding of containerization technologies such as Docker and Kubernetes.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
3–12 years of experience in data engineering, database development, or graph database implementations.
Experience designing scalable, high-performance data systems for enterprise applications.
Ability to work in Agile development environments and collaborate with cross-functional teams.
Excellent communication and documentation skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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