Description

You will implement and manage graph database solutions using Neo4j and Cypher, owning the full lifecycle from data pipeline construction to warehouse organization.

This role is on-site.

Responsibilities

• Build and maintain graph data load pipelines from Hadoop.
• Design and organize warehouse data using Hadoop file formats.
• Develop and automate ETL processes for SQL and in-memory databases.
• Debug complex issues within Hadoop, Spark, and graph environments.

Required Skills

• 10+ years of experience with Neo4j and Cypher query language.
• Strong expertise in Python.
• Proficiency with Spark and Scala.
• Experience with Hadoop and Hadoop file formats.
• Hands-on experience with SQL and in-memory databases.
• Deep understanding of graph nodes, edges, and relations.
• Ability to automate ETL workflows.

Preferred Skills

• Any graduate degree.

Key Skills

Education

Any graduate