Senior Graph Database Engineer

Company Description 

NXP Semiconductors enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, we are driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets.  

Organization Description 

Do you feel challenged by being part of the IT department of NXP, the company with a mission of “Secure Connections for a Smarter World”? Do you perform best in a role representing IT in projects in a fast moving, international environment? 

Within R&D IT Solutions, the Product Creation Applications (PCA) department is responsible for providing and supporting the R&D design community globally with best-in-class applications and support. The applications are used by over 6,000 designers. 

Job summary 

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 an 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 10 plus 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.