
Data Infrastructure Specialist
2 days ago
The ideal candidate will have 1-3 years of experience in designing, optimizing, and managing scalable database architectures.
Key responsibilities include:
- Designing and developing scalable database architectures.
- Optimizing database queries, indexing, and performance tuning.
- Ensuring data security, compliance, backup, and disaster recovery.
- Building and maintaining ETL pipelines to support AI/ML and analytics workflows.
- Collaborating with AI engineers on vector databases and RAG pipelines.
Required skills and qualifications include:
- 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 include:
- Competitive salary & 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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