| Hi There,
Hope this email finds you well.
My name is Ira and I'm Executive Technical Recruiter at Vbeyond Corporation, a global staffing and IT consulting company. We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, and we currently have a job opening that may interest you. Below is the summary of the position. Required:
Following are some of the technical aspects involved: - Building large scale enterprise knowledge graph using Semantic and Graph Technologies e.g. Graph DB / Triple Stores like Stardog, SPARQL, Ontology, RDF, OWL, SHACL, R2RML, Graph Analytics & Inferencing, Graph Visualization
- Implementing Temporality / versioning in Knowledge Graph
- Implementing granular user entitlements in Knowledge Graph
- Building Chatbots on top of Knowledge Graphs using capabilities like natural language processing (“NLP”) and Machine Learning
- Rapid Application Development methodology in Enterprise Knowledge Graph Ecosystem – ability to integrate large disparate data sets rapidly in sandbox environment to showcase potential business value and then transforming it into proper knowledge graph in production.
- Working with Business Stakeholders to understand requirements and translate them into various aspects related to delivery in Knowledge Graph ecosystem – data sourcing, ontology, API, UI development etc.
- Design, development, and support of n-tier distributed applications including Data Ingestion or ETL layer, Big Data Analytics solutions, server-side API & components, as well as Database modeling & development.
- Design, development and support of Data Ingestion Framework and pipelines (using tools like Apache NiFi, Python programming) and Big Data Analytics solutions (using platforms like Snowflake, Databricks)
- Designing and implementing complex enterprise scale data & metadata architecture
- Experience building solutions for metadata management, data catalogs, data governance, data quality improvements, taxonomies.
- Building successful automated data lineage solutions including familiarity with relevant regulatory requirements, vendor tooling landscape, various discovery and scanning tools and technologies.
Qualifications - Masters / bachelor’s in computer science
- Robust analytics experience
- Must have experience of WSO platform and its transaction lifecycle & its data0base.
Primary Skills: - REACT, JavaScript, Redux, Cypress, REST, GraphQL, D3, Complex Graph Visualization, Micro frontends.
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