Chief Data Engineer

15 hours ago

Bikaner, Rajasthan, India beBeeDatabase Full time ₹ 12,00,000 - ₹ 16,00,000

Database Architect Position

We are seeking a skilled database architect with 1 to 3 years of expertise in designing, optimizing, and managing databases. The ideal candidate will be proficient in architecting scalable, secure, and high-performance databases that support artificial intelligence 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 extract, transform, load pipelines to support artificial intelligence and machine learning workflows.
  • Collaborate with artificial intelligence engineers on vector databases and real-time analytics pipelines.
  • Integrate databases with application programming interfaces, customer relationship management systems, and external systems.
  • Monitor database health, troubleshoot issues, and improve reliability.

Required Skills & Experience

  • Strong proficiency with relational databases (PostgreSQL, MySQL, Microsoft SQL Server, etc.).
  • Experience with NoSQL databases (MongoDB, Cassandra, Amazon DynamoDB, etc.).
  • Knowledge of vector databases is a plus.
  • Expertise in database optimization, indexing, and partitioning.
  • Solid understanding of extract, transform, load 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 artificial intelligence and machine learning data pipelines.
  • Exposure to DevOps for databases.
  • Prior work with enterprise-scale databases handling high-volume data.

What We Offer

  • Competitive salary and performance-based incentives.
  • Opportunity to work on cutting-edge artificial intelligence-driven data ecosystems.
  • Collaborative environment with artificial intelligence and data engineering teams.
  • Flexibility in remote work and project ownership.

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