Graph data Engineer

Hi ,

Greetings from Nitor infotech!

IMMEDIATE JOINER ONLY APPLY

Role Summary

We are looking for a Data/AI Engineer to design and implement data pipelines, enrichment mechanisms, and inference APIs that power the Behavior Knowledge Graph (BKG). The role involves data engineering, graph engineering, and ML/embedding integration to enable real-time personalization and behavior intelligence. 

Key Responsibilities

• Build scalable

  batch + streaming data pipelines

  using PySpark / Flink / Kafka. 
• Transform structured & unstructured data into

  RDF triples

  and populate

  RDF + Property Graph

  stores. 
• Integrate multiple systems (PIM/CMS/Marketing Platforms) for

  data enrichment and metadata ingestion

  . 
• Generate and maintain

  text + behavioral embeddings

  , and integrate with a

  Vector Database

  . 
• Develop APIs for

  inferencing, hybrid graph queries, and recommendations

  using SPARQL / Cypher / vector search. 
• Implement

  data quality, lineage, validation (SHACL)

  , and monitoring of pipelines. 
• Work closely with architects and ontology engineers for

  ontology evolution and schema mapping

  . 
• Support

  UAT, deployment and production runbooks

  under DevOps practices. 

Required Skills

• Strong hands-on experience in

  Python, PySpark, Kafka, Flink, Airflow or similar orchestration tools

• Expertise in one or more

  Graph technologies

  : 
• RDF / OWL / SPARQL 
• Neo4j / Amazon Neptune / JanusGraph 
• Experience with

  Vector Databases

  (FAISS / Pinecone / Weaviate / OpenSearch vector engine). 
• Understanding of

  ML embedding models

  (Hugging Face / Sentence Transformers / Custom encoders). 
• Strong knowledge of

  data modelling, ETL/ELT, and API development

  .

Good to Have

• Knowledge of

  SHACL, schema.org, PROV-O, OWL-Time

  . 
• Experience with

  real-time personalization or recommendation systems

  . 
• Familiarity with

  AWS / GCP

  cloud data stack. 

Wish you all the best!

Thanks & Regards,

VIGNESH

6379146150