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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

1. Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
2. Strong understanding of the Spring framework and its various modules.
3. Experience with JDBC for database connectivity and manipulation
4. Utilize database management systems to store and retrieve data efficiently.
5. Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
6. Experience in in working with relational and nosql databases.
7. Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
8. Knowledge of containerization technologies (e.g., Docker, Kubernetes)
9. Perform debugging and troubleshooting of applications using log analysis techniques.
10. Understand multi-service flow and integration between components.
11. Handle large-scale data processing tasks efficiently and effectively.
12. Hands on experience using Spark is an added advantage.
13. Good problem-solving and analytical abilities.
14. Collaborate with cross-functional teams to identify and solve complex technical problems.
15. Knowledge of Agile methodologies such as Scrum or Kanban
16. Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.

Job Overview

We are looking for a detail-oriented and skilled QA Engineer with expertise in Cypress to join our Quality Assurance team. In this role, you will be responsible for creating and maintaining automated test scripts to ensure the stability and performance of our web applications. You’ll work closely with developers, product managers, and other QA professionals to identify issues early and help deliver a high-quality user experience.

You should have a strong background in test automation, excellent analytical skills, and a passion for improving software quality through efficient testing practices.

Key Responsibilities

• Develop, maintain, and execute automated test cases using Cypress.
• Design robust test strategies and plans based on product requirements and user stories.
• Work with cross-functional teams to identify test requirements and ensure proper coverage.
• Perform regression, integration, smoke, and exploratory testing as needed.
• Report and track defects, and work with developers to resolve issues quickly.
• Collaborate in Agile/Scrum development cycles and contribute to sprint planning and reviews.
• Continuously improve testing tools, processes, and best practices.
• Optimize test scripts for performance, reliability, and maintainability.

Required Skills & Qualifications

• Hands-on experience with Cypress and JavaScript-based test automation.
• Strong understanding of QA methodologies, tools, and processes.
• Experience in testing web applications across multiple browsers and devices.
• Familiarity with REST APIs and tools like Postman or Swagger.
• Experience with version control systems like Git.
• Knowledge of CI/CD pipelines and integrating automated tests (e.g., GitHub Actions, Jenkins).
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication.

Preferred Qualifications

• Experience with other automation tools (e.g., Selenium, Playwright) is a plus.
• Familiarity with performance testing or security testing.
• Background in Agile or Scrum methodologies.
• Basic understanding of DevOps practices.

• 8 - 12 years of professional experience in .Net Framework 2.0/3.5/4.0/4.5 (C#, ASP.Net) and ADO.Net. Strong knowledge of software development, debugging and deployment tools Knowledge and experience of SQL Server (Any version). 
• Knowledge of Versioning tools. Strong experience working with HTML, CSS, JavaScript, and jQuery. 
• Should have Good Problem Solving and Analytical Skills Ability to work independently and as part of a team Ability to handle individual projects as well as team. 
• Understanding of MVC, WCF, WPF and any mobile technology – beneficial Ability to learn new technology in a short period.

• 6+ years of recent hands-on Java development
• Developing data pipelines in AWS or Google Cloud
• Java, Python, JavaScript programming languages
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban