ELM Graph Engineer

As a Graph Engineer, you will:

• Develop pipelines and code to support the ingress and egress of this data to and from the knowledge graphs.
• Perform basic and advanced graph querying and data modeling on the knowledge graphs that lie at the heart of the organization's Product Creation ecosystem.
• Maintain the (ETL) pipelines, code and Knowledge Graph to stay scalable, resilient and performant in line with customer’s requirements.
• Work in an international and Agile DevOps environment.

This position offers opportunity to work in a globally distributed team where you will get a unique opportunity of personal development in a multi-cultural environment. You will also get a challenging environment to develop expertise in the technologies useful in the industry.

Primary responsibilities:

• Translate requirements of business functions into “Graph-Thinking”.
• Build and maintain graphs and related applications from data and information, using latest graph technologies to leverage high value use cases.
• Support and manage graph databases.
• Integrate graph data from various sources – internal and external.
• Extract data from various sources, including databases, APIs, and flat files.
• Load data into target systems, such as data warehouses and data lakes.
• Develop code to move data (ETL) from the enterprise platform applications into the enterprise knowledge graphs.
• Optimize ETL processes for performance and scalability.
• Collaborate with data engineers, data scientists and other stakeholders to model the graph environment to best represent the data coming from the multiple enterprise systems.

Skills / Experience:

• Semantic Web technologies:
  • RDF
  • RDFS, OWL, SHACL
  • SPARQL
  • JSON-LD, N-Triples/N-Quads, Turtle, RDF/XML, TriX
• API-led architectures
  • REST, SOAP
  • Microservices
  • API Management
• Graph databases, such as Dydra, Amazon Neptune, Neo4J, Oracle Spatial & Graph is a plus
• Experience with other NoSQL databases, such as key-value databases and document-based databases (e.g. XML databases) is a plus
• Experience with relational databases
• Programming experience, preferably Java, JavaScript, Python, PL/SQL
• Experience with web technologies: HTML, CSS, XML, XSLT, XPath
• Experience with modelling languages such as UML
• Understanding of CI/CD automation, version control, build automation, testing frameworks, static code analysis, IT service management, artifact management, container management, and experience with related tools and platforms.
• Familiarity with Cloud computing concepts (e.g. in AWS and Azure).

Education & Personal skillsets:

• A master’s or bachelor’s degree in the field of computer science, mathematics, electronics engineering or related discipline with at least 2 years of experience in a similar role
• Excellent problem-solving and analytical skills
• A growth mindset with a curiosity to learn and improve.
• Team player with strong interpersonal, written, and verbal communication skills.
• Business consulting and technical consulting skills.
• An entrepreneurial spirit and the ability to foster a positive and energized culture.
• You can demonstrate fluent communication skills in English (spoken and written).

• Experience working in Agile (Scrum knowledge appreciated) with a DevOps mindset.
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