Jobs

Key Responsibilities:

• Design, develop, and maintain graph database solutions using Neo4j to support complex data relationships and queries.
• Collaborate with data scientists, analysts, and software engineers to integrate graph data structures into applications and analytics workflows.
• Optimize and tune Neo4j queries and graph data models to ensure high performance and scalability.
• Implement best practices for graph data management, including data ingestion, transformation, and quality assurance.
• Develop and maintain documentation related to graph data architecture, processes, and standards.
• Troubleshoot and resolve graph database-related issues and work proactively to enhance system reliability.
• Stay updated with the latest advancements in graph database technologies and recommend innovative solutions.

Requirements:

• 4-8 years of professional experience in data engineering or related roles with a focus on graph databases.
• Strong hands-on experience with Neo4j, including Cypher query language and graph data modeling.
• Proficiency in data integration tools, ETL processes, and scripting languages such as Python or Java.
• Solid understanding of database principles, data structures, and distributed systems.
• Experience working in agile environments and collaborating with cross-functional teams.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, or GCP) and deploying graph databases in cloud environments.
• Knowledge of additional graph technologies or big data ecosystems.