
Database Expert for Scalable Data Ecosystems
3 days ago
Job Description:
">- We are seeking a skilled Database Engineer with 1 to 3 years of experience in designing, optimizing and managing databases. The ideal candidate will be able to architect scalable, secure and high-performance databases ensuring data integrity and supporting AI-driven applications.
Key Responsibilities
">- Design, develop and maintain scalable database architectures (SQL & NoSQL).
- Optimize database queries, indexing and performance tuning.
- Ensure data security, compliance, backup and disaster recovery.
- Build and maintain ETL pipelines to support AI/ML and analytics workflows.
- Collaborate with AI engineers on vector databases and RAG pipelines.
- Integrate databases with APIs, CRMs and external systems.
- Monitor database health, troubleshoot issues and improve reliability.
Required Skills & Experience
">- Strong proficiency with SQL databases (PostgreSQL, MySQL, MSSQL etc.).
- Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB etc.).
- Knowledge of vector databases is a plus.
- Expertise in database optimization, indexing and partitioning.
- Solid understanding of ETL processes, data pipelines and data modeling.
- Experience with cloud database services.
- Familiarity with backup, replication and high availability strategies.
- Strong Python/SQL scripting skills for automation.
Nice-to-Have
">- Experience with data warehouses.
- Knowledge of streaming data systems.
- Hands-on experience with AI/ML data pipelines.
- Exposure to DevOps for databases.
- Prior work with enterprise-scale databases handling high-volume data.
Benefits
">- The successful candidate will have the opportunity to work on cutting-edge AI-driven data ecosystems.
- Collaborate with a collaborative environment with AI and Data Engineering teams.
- Enjoy flexibility in remote work and project ownership.
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