Dedicated Database Solutions Specialist

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDatabase Full time ₹ 15,00,000 - ₹ 25,00,000
Job Summary

We are seeking a skilled Database Architect to design and implement cutting-edge database solutions.

The ideal candidate will be proficient in architecting scalable, secure, and high-performance databases that ensure data integrity and support AI-driven applications.

You will 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 & 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.

Nice-to-Have:

  • 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.

About the Role:

  • 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.

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