Vrinda International

Data Platform Engineer | Graph Databases

Vrinda International Yelahanka taluku, Karnataka, India · ₹2M/yr

Human Resources Services · 2-10 employees

14 h ago
Principal (10+ yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The Data Platform Engineer will contribute to the design and architecture of the data platform while collaborating with architects to optimize data models. They are responsible for troubleshooting database performance and driving continuous improvement across multiple teams.

What they look for

Graph Databases Data Modeling Data Integration Cloud-based Data Platforms Database Troubleshooting Performance Optimization Data Platform Architecture Technical Decision Making SME Collaboration

Requirements

Candidates must have 8-12 years of experience with at least 5 years of hands-on expertise in Graph Databases. A strong understanding of data modeling, integration methodologies, and cloud-based data platforms is required.

Full description

Hiring: Data Platform Engineer | Graph Databases

Location: Bengaluru

Experience: 8-12 Years

Education: 15 years of full-time education

Role: Data Platform Engineer

Salary : 23 LPA

We are looking for an experienced Data Platform Engineer with strong expertise in Graph Databases to support data platform design, integration, and optimization.

Key Responsibilities:

  • Contribute to data platform blueprint and architecture
  • Collaborate with Data Architects and Integration Architects
  • Design and optimize data models and platform components
  • Work with multiple teams on technical decisions
  • Troubleshoot and optimize database performance
  • Drive knowledge sharing and continuous improvement
  • Provide solutions across teams and support team decisions

Required Skills:

  • 5+ years of hands-on experience with Graph Databases
  • Strong understanding of data modeling techniques
  • Experience with data integration tools and methodologies
  • Familiarity with cloud-based data platforms and services
  • Strong database troubleshooting and performance optimization skills
  • Ability to work as an SME and collaborate with multiple teams