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Senior Knowledge Graph Engineer
hace 2 meses
Senior Knowledge Graph Engineer - Labelled Property Graph Barcelona Competitive Salary + Benefits Introduction to role: Join our dynamic Knowledge Graph Team at a leading global pharmaceutical company as a Senior Knowledge Graph Engineer. We are seeking an experienced professional with a strong focus on Labelled Property Graph (LPG) and proficiency in data engineering. If you have a solid background in computer science, data analytics, and LPG technologies such as Neo4j and LPG Query languages such as Cypher/Open Cypher, we want to hear from you
Accountabilities: In this role, you will tap into your expertise in LPG and data engineering to design, develop, and maintain advanced knowledge-based systems and solutions that support our competitive intelligence initiatives. You will collaborate with multi-functional teams and collaborators to understand business requirements, identify knowledge gaps, and define data-driven strategies to inform decision-making and drive business growth. You will also develop and implement advanced data engineering pipelines, ensuring the optimal performance, scalability, and reliability of our data infrastructure.
Essential Skills/Experience: Bachelor's or master's degree or equivalent experience in computer science, data science, engineering, or a related field.Proven experience as a Knowledge Engineer, Data Engineer, or a similar role, with a strong focus on LPG and data engineering.Proficient in data engineering tools and technologies, such as Python, SQL, Spark, Hadoop, and ETL / ELT frameworks.Solid understanding of computer science fundamentals.Excellent problem-solving, analytical, and critical thinking skills.Deep understanding of LPG concepts and technologies.Designing, developing, and deploying customised and scalable knowledge graph solutions or products.Deep knowledge in Graph Query Languages (Cypher/Open Cypher, Gremlin).Data/Software Engineering proficiency with Object-Oriented Programming Languages (e.g., Java, Python, C++) and/or Dynamic Programming Languages (e.g., Python, Perl).Working knowledge of a range of database technologies including RDBMS, NoSQL.Desirable Skills/Experience: Programming languages that combine object-oriented and functional programming (e.g., Scala).Experience with data analytics techniques.Object Graph Mapping libraries and/or Aspect Oriented Programming.Data engineering using modern data platforms to build, deploy, and maintain data applications.Application deployment technologies (containerised workflows, Kubernetes) and cloud provisioning tools (CloudFormation, Terraform). Familiarity with AWS would be advantageous.Web-services development and consumption (e.g., RESTFul, GraphQL).Graph visualization technologies and tools (e.g., Neo4j Bloom, SigmaJS, Gephi).Full text search and indexing (e.g., Solr/Lucene, Elastic Search).Experience with Django, Docusaurus, and React would be advantageous.Ready to make a difference? Apply today
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