Company

Quantizant is a market trends analysis automation for technological companies.

We are building a next generation LLM-powered analytical platform analyzing startup and technology business news to automatically recommend best strategic directions client companies can take in their innovation efforts.

We focus on both innovation and competitive dynamics and use the recently revolutionary LLM capabilities to abstract trends and tendencies while supporting them with data on popularity, traction and investment.

Data Engineer (Graph Database Specialist) Position

We are on the lookout for a dedicated Data Engineer with a specialization in graph databases. The successful candidate will be a key contributor to the development and optimization of our graph database systems, playing an essential role in ensuring the efficiency, reliability, and scalability of our data infrastructure.

Responsibilities:

• Designing, building, and maintaining graph database systems to support complex data relationships and analytics.
• Implementing data ingestion, processing, and transformation pipelines to populate graph databases from various sources.
• Optimizing queries and database schemas to ensure high performance and responsiveness for data retrieval.
• Collaborating closely with data scientists, knowledge graph engineers, and other stakeholders to ensure data quality, integrity, and alignment with business requirements.
• Monitoring graph database performance and implementing necessary optimizations and scaling strategies.
• Keeping current with the latest advancements in graph database technologies and incorporating them to improve existing systems.
• Developing and maintaining data documentation, including data models, ETL processes, and data dictionaries.
• Enforcing data governance policies, including security, privacy, and compliance measures.
• Providing support and guidance to other team members on best practices for working with graph databases.
• Conducting research to evaluate new graph database technologies and tools for potential adoption.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• At least 3 years of experience working with graph databases such as Neo4j, Amazon Neptune, or similar.