Graph DB & Analytics Platform Engineer

Infosys; Charlotte (TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Disability coverage

401(k) plan

Paid holidays & PTO

Job summary

Infosys, a global technology leader, seeks a Technology Consultant 2 to drive analytics initiatives across banking, wealth management, and insurance. You will contribute to requirements, design, and coding, while ensuring system stability and scalability.

The role emphasizes collaboration with cross-functional teams and hands-on development of streaming and graph-based data pipelines. You will work with cutting-edge technologies, influence architectural decisions, and help deliver AI-driven

Qualifications

• Experience building end-to-end analytics platforms using streaming, graph and big data tech.
• Hands-on design, development, and maintenance of software frameworks and data pipelines.

Responsibilities

• Contribute to requirements elicitation by documenting assigned business requirements.
• Facilitate software design discussions and document decisions for the technical team.
• Participate in coding and integrate updates into existing applications.
• Conduct code reviews and maintain repositories.
• Implement test strategies and coordinate bug fixes.
• Develop user training materials and support frameworks.
• Resolve production issues and propose preventive reliability measures.
• Maintain detailed records to enrich knowledge base.

Skills

E2E analytics platforms

Graph analytics

Java/Scala/Python

Streaming pipelines

Cross-functional collaboration

Software design discussions

Education

Bachelor's degree

Tools

Kafka

Spark

Neo4J

TigerGraph

Job description

Infosys, a global technology leader, seeks a Technology Consultant 2 to drive analytics initiatives across banking, wealth management, and insurance. You will contribute to requirements, design, and coding, while ensuring system stability and scalability.

The role emphasizes collaboration with cross-functional teams and hands-on development of streaming and graph-based data pipelines. You will work with cutting-edge technologies, influence architectural decisions, and help deliver AI-driven