Design and implement scalable database architectures to support high-volume, high-velocity data.
Optimize and maintain existing databases to ensure high performance and reliability.
Integrate MongoDB for flexible data storage and retrieval, and Elasticsearch for advanced search capabilities.
Explore and implement vector database solutions for advanced features like similarity search and AI-driven recommendations.
Collaborate with the development team to integrate database solutions with the front-end and back-end systems.
Ensure data security, backup, and recovery strategies are in place and effective.
Skills and Qualifications:

Proven experience in database architecture and engineering.
Proficient with SQL and NoSQL databases, with a strong emphasis on MongoDB.
Deep understanding of Elasticsearch or similar technologies for search engine integration.
Familiarity with vector databases like Milvus or Pinecone for advanced search functionalities.
Strong analytical and problem-solving skills.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

TO APPLY:
Provide links to real world examples and describe your contribution to the projects.

Hourly Range: $30.00-$60.00

Posted On: March 22, 2024 09:10 UTC
Category: Back-End Development
Skills:MongoDB, Apache Cassandra

Country: United States

click to apply