Database Engineer

Location: , Gujarat

Category: Database Administrator

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

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