Chief Data Engineer
15 hours ago
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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