Python + Graph DB

Cognizant; Chennai; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Cognizant Technology Solutions Corporation is seeking a Python Developer with strong Graph Database (Neo4j) experience to build scalable, relationship-driven analytics and knowledge graphs. You will design graph data models, write Cypher queries, and create APIs to interact with the graph platform.

The role involves developing ETL pipelines, graph analytics, and collaboration with Data Engineering and Data Science teams to deliver graph-based solutions across Cognizant's client engagements.

Qualifications

• 6–12 years of Python development and graph database experience.
• Strong Python development background.
• Proficiency in Cypher Query Language.
• Experience with Python frameworks such as FastAPI, Flask, or Django.
• Strong SQL and database fundamentals.
• Experience with REST APIs and microservices architecture.
• Knowledge of data structures, algorithms, and graph theory concepts.
• Experience with Git and CI/CD practices.

Responsabilités

• Design and develop applications using Python and Neo4j Graph Database.
• Build and optimize graph data models, schemas, nodes, and relationships.
• Develop complex graph queries using Cypher.
• Create APIs and backend services to interact with graph databases.
• Develop data ingestion and ETL pipelines for loading data into Neo4j.
• Implement graph analytics, relationship mining, and graph traversal solutions.
• Optimize application performance, database queries, and data processing workflows.
• Collaborate with Data Engineering, Data Science, and Business teams.

Connaissances

Python

Neo4j Graph Database

Cypher Query Language

FastAPI/Flask/Django

SQL

REST APIs

Git & CI/CD

Graph Theory

Outils

Neo4j

Cypher

REST API

Git

Description du poste

Job Title: Python Developer (Graph Database / Neo4j)

Experience: 6-12 Years
Location: PAN India

Job Description

We are seeking a skilled Python Developer with strong experience in Graph Databases (Neo4j) to develop and maintain scalable data solutions for relationship-driven analytics, knowledge graphs, recommendation engines, and network analysis use cases.

Key Responsibilities

• Design and develop applications using Python and Neo4j Graph Database.
• Build and optimize graph data models, schemas, nodes, and relationships.
• Develop complex graph queries using Cypher Query Language.
• Create APIs and backend services to interact with graph databases.
• Develop data ingestion and ETL pipelines for loading structured and unstructured data into Neo4j.
• Implement graph analytics, relationship mining, and graph traversal solutions.
• Optimize application performance, database queries, and data processing workflows.
• Collaborate with Data Engineering, Data Science, and Business teams to deliver graph-based solutions.

Required Skills

• Strong experience in Python development.
• Hands-on expertise with Neo4j Graph Database.
• Proficiency in Cypher Query Language.
• Experience with Python frameworks such as FastAPI, Flask, or Django.
• Strong SQL and database fundamentals.
• Experience with REST APIs and microservices architecture.
• Knowledge of data structures, algorithms, and graph theory concepts.
• Experience with Git and CI/CD practices.

Preferred Skills

• Experience with Graph Data Science (GDS) libraries.
• Knowledge of Network Analysis, Fraud Detection, Recommendation Systems, or Knowledge Graphs.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Kafka, Spark, or distributed data processing frameworks.
• Neo4j Aura or Neo4j Enterprise experience.