Job Description
We are seeking a Database Engineer with 1 to 3 years of strong expertise in database design, optimization, and management. The ideal candidate will be skilled in architecting scalable, secure, and
high-performance databases, ensuring data integrity, and supporting 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.
What We Offer
• 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.
Location: On-site (Ahmedabad, Gujarat)
Employment Type: Full-time
