Role- Data Platform Engineer Graph Database

Experience: 4+ Years | Graph Experience: 2+ Years

Location- PAN India

Key Responsibilities:

- Design and implement Graph Database solutions, data models, and integration patterns.

- Develop scalable ETL/data pipelines for graph data ingestion and processing.

- Work with Neo4j, TigerGraph, AWS Neptune, or similar technologies.

- Develop and optimize queries using Cypher, Gremlin, GSQL, SPARQL.

- Work with RDBMS sources and optimize graph data ingestion and query performance.

- Create solution architecture deliverables and collaborate with Data & Integration Architects.

Must Have Skills:

- 4+ years overall IT experience with 2+ years in Graph-based solutions.

- Solid Graph Database & Graph Data Modeling experience.

- Hands-on experience with Neo4j / TigerGraph / AWS Neptune.

- Knowledge of Cypher / Gremlin / GSQL / SPARQL.

- Experience with ETL, Data Engineering & Data Transformation.

- Proficiency in Python, Scala, or SQL.

Good to Have:
Ontology | Semantic Data Modeling | Cloud Data Engineering | Data Integration | Data Lake | Cloud Analytics | Data Architecture

📌 Data Platform Engineer – Graph Database (Bengaluru)
🏢 PINEQ LAB
📍 Bengaluru