Description

You will design and develop graph-based data solutions, build cloud infrastructure on AWS, and maintain APIs for graph applications.

This role is hybrid.

Responsibilities

• Implement graph algorithms to model, query, and analyze complex relationships in large datasets.
• Design and maintain graph schemas and ontologies for interconnected data systems.
• Develop and manage ETL pipelines for data ingestion and enrichment within a knowledge graph environment.
• Build and support data engineering solutions in cloud environments, specifically AWS.
• Develop and maintain APIs and microservices supporting graph-based applications.

Required Skills

• 4+ years of professional software development experience.
• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• Proficiency in Java with Spring Boot.
• Hands-on experience with ETL processes and data quality validation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Ability to work with or quickly learn graph technologies and environments.
• Strong understanding of algorithms and data structures.

Preferred Skills

• Experience with graph databases such as Neo4j, Neptune, or Tigergraph.
• Proficiency in Python for data engineering tasks.

Key Skills

Education

Bachelor's or Master's degrees