JPMorgan Lead Software Engineer - Graph Database 

United States, Texas, Plano 

674846525

Job responsibilities

• Develop and implement data ingestion pipelines to populate the graph database from various sources.
• Write and optimize efficient queries using graph database query languages such as Cypher or Gremlin.
• Integrate graph databases with other systems and applications for seamless data flow and interoperability.
• Develop APIs and interfaces to enable access to graph data for various applications and services.
• Perform data analysis to uncover insights and patterns within graph data.
• Use visualization tools to represent graph data in a meaningful and accessible way for stakeholders.
• Monitor database performance and health, addressing any issues that arise.
• Implement security measures to protect graph data, including access controls and encryption.
• Ensure compliance with relevant data protection regulations and standards.
• Work closely with data scientists, analysts, and other engineers to support data-driven projects.
• Communicate complex technical concepts to non-technical stakeholders clearly and concisely.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Proficiency with graph database technologies such as Neo4j, Amazon Neptune, or Tigergraph.
• Experience with graph query languages like Cypher (for Neo4j) or GSQL (for Tigergraph).
• Strong programming skills in languages commonly used with graph databases, such as Java, Python, or JavaScript.
• Familiarity with data modeling and design principles specific to graph databases.
• Knowledge of data integration and ETL processes for graph data.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying graph databases in cloud environments.
• Understanding of security best practices for graph databases, including access control and data protection.
• Experience with DevOps practices and tools for automating database deployment and management.
• Strong analytical skills to understand complex data relationships and derive meaningful insights.
• Ability to solve complex technical problems and develop innovative solutions.

• Certifications related to specific graph database technologies or cloud platforms