Graph database engineer
Graph database engineer
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Job Description
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 endtoend 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 bestinclass applications and support. The applications are used by over 6000 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 organizations Product Creation ecosystem.
Maintain the (ETL) pipelines code and Knowledge Graph to stay scalable resilient and performant in line with customers 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 multicultural 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 GraphThinking.
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
JSONLD NTriples/NQuads Turtle RDF/XML TriX
APIled 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 keyvalue databases and documentbased 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 masters or bachelors 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 problemsolving 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.
Employment Type
Full-Time
