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taleo

Python + Graph DB

Cognizant
Chennai, IND
Full-time
Senior · 6–12 years experience
Onsite
Discovered Today
PythonNeo4jCypherFastAPIFlaskDjango

Full Job Posting

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.

Requirements

  • 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.
  • 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.

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