Data Platform Engineer

4 weeks ago

Delhi, India NXP Semiconductors Full time
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:

1. RDF2. RDFS, OWL, SHACL3. SPARQL4. JSON-LD, N-Triples/N-Quads, Turtle, RDF/XML, TriX

- API-led architectures

1. REST, SOAP2. Microservices3. 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).

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

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