Graph Data Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

US Bachelors needed

Linkedin with photo

US and GC only

Graph Data Engineer

NYC NY - 3 days on site
Long Term Consulting Assignment
**Onsite Interview Required

Position Overview:
The graph data engineer is responsible for developing and enhancing knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers data scientists and product managers to build various business cases using graph technologies. 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 in Jefferies.

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:

Bachelors 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.

US Bachelors needed Linkedin with photo US and GC only Graph Data Engineer NYC NY - 3 days on site Long Term Consulting Assignment **Onsite Interview Required Position Overview: The graph data engineer is responsible for developing and enhancing knowledge graph to empower several application...