Database Specialist

2 weeks ago

Rajahmundry, Andhra Pradesh, India beBeeDatabase Full time ₹ 15,00,000 - ₹ 25,00,000
Database Specialist

We are seeking a highly skilled Database Specialist to join our AI/Engineering teams. As a key member of our team, you will play a crucial role in architecting scalable, secure, and high-performance databases that ensure data integrity and support AI-driven applications.

The ideal candidate will have strong expertise in database design, optimization, and management, with the ability to collaborate closely with our AI/Engineering teams to optimize storage, retrieval, and analytics pipelines.

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 & Qualifications:

  • 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 (AWS RDS, GCP Cloud SQL, Azure SQL).
  • Familiarity with backup, replication, and high availability strategies.
  • Strong scripting skills for automation.

Benefits:

  • A competitive compensation package.
  • Opportunities for growth and professional development.
  • A collaborative and dynamic work environment.

Others:

  • Experience with data warehouses is a plus.
  • Knowledge of streaming data systems is a plus.
  • Hands-on experience with AI/ML data pipelines is a plus.
  • Exposure to DevOps for databases is a plus.
  • Prior work with enterprise-scale databases handling high-volume data is a plus.

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