Knowledge Graph Engineer

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting‑edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best‑of‑breed technology, our client’s analytics team takes an industry‑specific approach to transform decision‑making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking a Knowledge Graph Engineer with 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.

RESPONSIBILITIES

• 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.
• 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
• 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 graphs with a focus on Neo4j or others 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.

CANDIDATE PROFILE

• 8+ years of experience working with data engineering with at least 2‑3 years of experience working on graph databases.
• Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• Outstanding written and verbal communication skills
• Superior analytical and problem‑solving skills
• Experience in working in dual shore engagement is preferred
• Must have experience in managing clients directly
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands‑on approach to work
• Able to work in fast fast‑paced continuously evolving environment and ready to take up uphill challenges
• Can understand cross‑cultural differences and can work with clients across the globe

LOCATION

Candidate can be based anywhere in US or Canada