We are seeking a Data Engineer with strong experience in graph databases, entity network analysis, and vector data platforms to design, build, and operate scalable data solutions. The role focuses on Neo4j-based graph platforms, vector databases, and modern data repositories using Apache Iceberg, running on Nutanix hybrid infrastructure, to support advanced analytics, AI, and enterprise data use cases.
Requirements
- Bachelor's degree in computer science, Information Systems, or related field.
- Minimally 4 years of hands-on experience in Data Engineering
- Strong hands-on experience with Neo4j (Graph DB)
- Proven experience in entity network analysis and relationship-based modeling
- Hands-on experience with vector databases: Postgres (pgvector), Milvus, and/or Weaviate
- Strong SQL skills and experience with complex data transformations
- Experience designing data lakes / lakehouse architectures
- Hands-on experience with Apache Iceberg or similar table formats
- Experience operating data platforms on Nutanix or comparable on-prem / hybrid infrastructure
- Solid understanding of distributed systems and data storage concepts
Benefits
- Continuous learning
- Success as defined by you
- Transformative leadership
- Diverse and inclusive culture