MEP Engineer

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

Strong UX Researcher Profile

Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products

Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing

Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies

Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Preferred

Preferred (Company) - Product Company

Key Responsibilities:

• Design, develop, and maintain robust and scalable backend applications using Core Java and Spring Boot.
• Build and manage microservices-based architectures and ensure smooth inter-service communication.
• Integrate and manage real-time data streaming using Apache Kafka.
• Write clean, maintainable, and efficient code following best practices.
• Collaborate with cross-functional teams including QA, DevOps, and product management.
• Participate in code reviews and provide constructive feedback.
• Troubleshoot, debug, and optimize applications for performance and scalability.

Required Skills:

• Strong knowledge of Core Java (Java 8 or above).
• Hands-on experience with Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security).
• Experience in designing and developing RESTful APIs.
• Solid understanding of Microservices architecture and related patterns.
• Practical experience with Apache Kafka for real-time data processing.
• Familiarity with SQL/NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Good understanding of CI/CD tools and practices.
• Knowledge of containerization tools like Docker is a plus.
• Strong problem-solving skills and attention to detail.

The ideal candidate should be a proactive individual with strong communication skills and a team player.

Should have hands-on experience in the following:

• He or she should have experience of at least 3-5 years in Oracle PL/SQL development.
• Excellent in-depth knowledge in Cursors, Indexes, Stored Procedures, Functions, Packages,
• Triggers, Exception Handling.
• Excellent in-depth knowledge in Collections, Records, Bulk Collect, Views
• Knowledge of Dynamic SQL
• Exposure in Performance Tuning, Explain Plan
• Should have worked in SDLC environment
• Good communication skills
• Experience in working effectively within a team as well as an individual contributor