Knowledge Graph Engineer

Knowledge Graph Engineer

Remote

Responsibilities:

The ideal candidate will have expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.

• Design and implement graph databases to efficiently store and retrieve high-dimensional data.
• Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
• Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
• Implement graph algorithms to extract meaningful insights from the knowledge graph.
• Optimize database queries, finetune graphs, indexing strategies for graph operations.
• Identify and resolve performance bottlenecks to ensure efficient data retrieval.
• Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
• Provide support for query optimization and data modeling for application-specific requirements.
• Implement and maintain data security measures for graph databases and knowledge graphs.
• Ensure compliance with relevant data protection regulations and industry standards.
• Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
• Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:

• Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
• Solid understanding of graph data modeling, graph schema development, graph data design.
• Familiarity with machine learning and GenAI concepts related to graph data.
• Experience with cloud-based database solutions and knowledge of distributed database systems.
• Proven experience in designing and implementing graph databases, knowledge graph with a focus on Neo4j or other like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
• Strong proficiency in database optimization, performance tuning, and query languages.
• Familiarity with graph algorithms and data modeling for knowledge graphs.
• Experience with other relevant programming languages, such as Python, Java, or Scala.
• Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
• Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:

• Strong work ethic and desire to produce quality results
• Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
• Continuous Improvement mindset and approach to work product
• Ability to take complex subjects and simplify it to less technical individuals
• Provides clear documentation of processes, workflows, recommendations, etc.
• High level of critical thinking capabilities
• Organized and has the ability to manage work effectively, escalating issues as appropriate
• Takes initiative & is a self-starter
• Displays ownership of their work (quality, timeliness)
• Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
• Should be able to communicate with stakeholders directly and independently
• Should have good problem solving skills

Candidate Profile:

• 8+ years of experience working with data engineering with at least 2-3 years of experience working on graph databases.