
Database Infrastructure Specialist
5 days ago
We're seeking a highly skilled Database Engineer to join our teams. With 1 to 3 years of expertise in database design, optimization, and management, you'll be responsible for architecting scalable, secure, and high-performance databases.
You will ensure data integrity, support AI-driven applications, and collaborate closely with our 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.
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