
The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.
Work you’ll do
1. Design and develop scalable and efficient knowledge graph architectures.
2. Implement knowledge graph integration with existing data systems and business processes.
3. Lead the ontology design, data modeling, and schema development for knowledge representation.
4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.
5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.
6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.
7. Develop and maintain documentation and specifications for system architectures and designs.
8. Stay updated with the latest industry trends in knowledge graph technologies and data management.
The Team
Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.
It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.
I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.
Qualifications and Experience
Required:
1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.
3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).
4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.
5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).
6. Excellent analytical and problem-solving abilities.
7. Strong communication and collaboration skills to work effectively across teams.
Preferred:
1. Experience with machine learning and natural language processing.
2. Experience with Industry 4.0 technologies and principles
3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.
4. Experience with containerization technologies like Docker and Kubernetes

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Internal IT and business customers in MSR.
Global/Local IT Vendor, market and global (HQ) colleagues,
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mail updated resume- etalenthire[at]gmail[dot]com
satish- 88O 27 49 743
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Strong knowledge with Java frameworks (Spring, Hibernate, Mybatis)
Strong core Java 7 or Java 8 skills (with good understanding of multithreading and performance tuning)
Strong understanding of object-oriented design patterns.
Strong experience in Architecture & Designing, Web services (Rest or SOAP)
Good knowledge on Jasper Reports, iReports & XML
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Sound knowledge on OOAD
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Strong knowledge with Java frameworks (Spring, Hibernate, mybatis,)
Strong core Java 7 or Java 8 skills (with good understanding of multithreading and performance tuning)
Strong understanding and experience on JavaScript (object oriented), AJAX, JQuery, Anuglar 2 or 4,Primefaces
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Good knowledge on SQL or PL/SQL for Postgres, MySQL, Oracle database.
Good understanding of application and web servers – JBOSS,TOMCAT,JETTY
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Experience in Transport, Logistics & Finance domain







