Senior Database Specialist

16 hours ago

Davangere, Karnataka, India beBeeDatabase Full time ₹ 15,00,000 - ₹ 20,00,000

We are seeking an experienced database professional to join our team. The ideal candidate will have expertise in designing, optimizing and managing large-scale databases.

Key Responsibilities
  • Design and develop scalable database architectures (SQL & NoSQL) to support AI-driven applications.
  • Optimize database queries, indexing and performance tuning for high-performance databases.
  • Ensure data security, compliance, backup and disaster recovery to maintain data integrity.
  • 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 (Pinecone, Weaviate, Chroma, FAISS) 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 Python/SQL scripting skills for automation.
Benefits
  • Competitive salary and performance-based incentives.
  • Opportunity to work on cutting-edge AI-driven data ecosystems.
  • Collaborative environment with AI and Data Engineering teams.
  • Flexibility in remote work and project ownership.
Other Requirements
  • Experience with data warehouses (Snowflake, BigQuery, Redshift).
  • Knowledge of streaming data systems (Kafka, Spark).
  • Hands-on experience with AI/ML data pipelines.
  • Exposure to DevOps for databases (Terraform, Kubernetes, CI/CD for DB).
  • Prior work with enterprise-scale databases handling high-volume data.

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