Talent Recruiting NOW - Full time Graph Developer/Data Engineer (base in NYC)

Drsunshine

非小公司，组内扩充，招人2名，可内推面试，要求一周三天RTO曼哈顿中城。Please send your resume to allyzheng222@gmail.com，符合下面三个条件以上者可以发简历过来试试面试。

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 programming languages Java and Python and Scala is a plus
        •        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, Large Language Model (LLM) and Machine Learning algorithms (PageRank, Connected ComponentsPandas, Numpy )
        •        Familiarity with full stack development lifecycle including Integration and UI development.
        •        Experience with Spark and Databricks