Hybrid :: Graph Developer :: NYC, NY :: Long Term

Job Description

Job Description

Hello There,

My name is Amit Kumar, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of “Graph Developer” with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .

Job Title: Graph Developer
Location: Hybrid, NYC, NY

Duration: Long Term Consulting Opportunity

Note: Must Have Bachelor’s Degree from USA

Job Description:
Responsibilities

• Design and development: Architect, design, and implement graph-based data models and solutions.

• Query optimization: Develop and optimize efficient graph queries using languages like Cypher, Gremlin, or SPARQL.

• Data integration: Build and maintain data pipelines to load, transform, and integrate data from various sources into the graph database.

• Performance and scalability: Ensure the graph database and related applications are scalable, performant, and secure.

• Collaboration: Work with stakeholders and cross-functional teams (like data scientists, analysts, and other engineers) to define use cases and translate requirements into technical solutions.

• Application development: Build applications or APIs that leverage the graph database for relationship analysis, recommendation engines, fraud detection, or other use cases.

• Mentorship: Provide guidance and mentor junior developers on graph best practices.

• Documentation: Create and maintain documentation for graph schemas, queries, and architectures.

Required skills and experience

• Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune).
• Proficiency in graph query languages (e.g., Cypher, Gremlin, SPARQL).

• Strong programming skills in languages in Java and Python

• Heavy financial experience

• Familiarity with data modeling principles for connected data.
• Experience with ETL processes and data ingestion.
• Knowledge of cloud platforms like AWS is often a plus.
• Understanding of data structures and algorithms, particularly related to graph theory.

• Excellent communication and collaboration skills.
• Financial experience