Description

Key Responsibilities:

  • Support neo4j database administration and managing the underlying Linux environment.
  • Collaborate with business and analytics teams to design and implement graph data models aligned with business use cases.
  • Assist in deploying and integrating advanced analytics models.
  • Develop automation scripts using Python and Shell to support data transformation and model deployment.
  • Leverage AWS services for data movement, transformation, and model hosting as needed.

 
Key Requirements and Technology Experience:  

  • Key skillls; Neo4j, AWS, Docker
  • Graph Data & Modelling:
  • Strong experience with database onboarding (neo4j) and graph schema design.
  • Ability to translate complex business logic into graph structures.
  • Experience with managed graph database platforms.
  • Exposure to containerized environments (Docker, Kubernetes) for model deployment.
  • Familiarity with observability tools and performance monitoring for data pipelines and models.
  • Cloud & Platform Knowledge:
  • Familiarity with AWS services relevant to data and model operations.
  • Understanding of cloud-native data workflows and security practices.
  • Model Deployment & Analytics Integration:
  • Experience supporting deployment of machine learning or advanced analytics models.
  • Familiarity with model lifecycle management and integration into production environments.
  • Harness, GitHub, GitHub actions.
  • Data Engineering & Scripting:
  • Proficient in Python and Shell scripting for automation and data workflows.
  • Experience with ETL tools and orchestration frameworks

Education

Any Graduate