Urgent Hiring :: Graph Data Engineer (USC/GC Only) :: NYC, NY (Hybrid) Local Candidates Only with DL :: Interview Mode: Video and F2F :: FEMALE CANDIDATES ONLY

[Abhay Dubey]

SEND RESUMES TO ab...@sourceinfotech.com.

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Job Title: Graph Data Engineer (USC/GC Only)

Job Location: NYC, NY (Hybrid) Local Candidates Only with DL

Job Type: Contract 

Interview Mode: Video and F2F

ONLY LOCAL CANDIDATES- ONSITE INTERVIEW REQUIRED !

MUST HAVE INVESTMENT BANKING BACKGROUND.

LINKEDIN IS MUST !

FEMALE CANDIDATES ONLY !

 

JOB DESCRIPTION

You will be also responsible for cleansing, analyzing and ingesting data into the graph store, creating and optimizing knowledge graph queries. This is a unique opportunity to be a member of our Corporate CRM and Analytics Team, tackling our toughest and most exiting graph challenges across multiple divisions..
 

Responsibilities:

• Design and develop graph data solutions leveraging cutting-edge graph technologies.
• Implement graph algorithms to model, query, and analyze complex relationships in large datasets.
• Design and manage graph schemas and ontologies to support dynamic and interconnected data systems.
• Develop and maintain ETL pipelines for ingesting data into the knowledge graph and enriching data correspondingly to serve business requirements.
• Design and develop data quality checks to assure data validity and integrity.
• Solid experience building data engineering applications within AWS.
• Ability to work in an Agile environment.
• Collaborate with full-dev life-cycle team including but not limited to Data Engineering, Data Scientists, Automating Engineers, Infrastructure Engineers, Quality Engineers and Front-end Engineers.

Basic Requirements:

• Bachelor's degree or higher in Computer Science or similar academic discipline
• 4+ years of professional software development experience
• Excellent problem solving and critical thinking skills
• Strong understanding of algorithms and data structures and knowing when to apply them
• Proficiency in Java SpringBoot. Python and Scala is a plus
• Experience building APIs and microservices
• Familiarity with ETL and relevant data quality checks
• Experience working with cloud environment setup (AWS, Azure, GCP)
• Ability to understand and learn graph technologies or working with a graph environment.

Preferred Skills:

• Experience with graph technologies, e.g. RDF, RDFs, SPARQL, SHACL, Cypher, etc. Triple Stores (Neptune, Allegrograph, GraphDB, etc.), Property Graph Stores (Neo4J, TigerGraph, etc.) will be a strong plus.
• Experience in building ontologies, knowledge graphs, or semantic systems for domain-specific applications.
• Familiarity with Graph and Machine Learning algorithms (PageRank, Connected Components, Cosine Similarity, Pandas, Numpy, Scikit learn)
• Familiarity with full stack development lifecycle including Integration and UI development. Experience with Spark and Databricks.

 

 

 

 

Thanks & Regards, 

Abhay

Source Infotech Inc.

E-mail: ab...@sourceinfotech.com

Hangout: waybi...@gmail.com

LinkedIn: linkedin.com/in/abhayy-dubey-a5425423a

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