GraphDB Data Engineer

Description :

- Build and optimize solutions using Neo4j, Amazon Neptune, or TigerGraph

- Develop ETL/ELT pipelines and data workflows

- Write and optimize Cypher/Gremlin queries

- Integrate structured and unstructured data sources

- Work with Data Science and Engineering teams on graph analytics use cases

- Ensure performance, scalability, and reliability of graph databases

Required Skills :

- Hands-on experience with Cypher/Gremlin

- Strong knowledge of ETL/ELT and data engineering concepts

- Proficiency in Python/Java/Scala

- Experience with Kafka and Airflow

- Good understanding of APIs, distributed systems, and data modeling

- Experience with AWS/Azure/GCP is a plus

Qualification :

- Exposure to ML/AI-driven data platforms

- Strong problem-solving and communication skills