Database Engineer

Sabpaisa; Delhi; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Sabpaisa is looking for a talented Database Engineer in Delhi to own the data layer for all payment products. You will design schemas, optimize queries, and ensure system reliability while scaling infrastructure. Ideal candidates will have 3-5 years of experience in database engineering, especially with PostgreSQL and Redis. Responsibilities include maintaining high-volume production databases, setting up data pipelines, and performing zero-downtime migrations. This is an excellent opportunity in the fintech space.

Qualifications

• 3–5 years database engineering experience with high-volume production systems.
• Deep PostgreSQL expertise, including query optimization and indexing.
• Strong Redis experience for caching and real-time data structures.

Responsibilities

• Design and maintain database schemas for various transaction types.
• Implement and manage caching layers for high-throughput processing.
• Support product teams with data modeling and query optimization.

Skills

PostgreSQL expertise

Redis experience

Database engineering

Data modeling

Query optimization

Job description

You will own the data layer for all payment products—designing schemas, optimizing queries, ensuring reliability, and scaling infrastructure. Every transaction, settlement, and reconciliation depends on the systems you build.

You’ll work across product squads as the database expert. When products launch, you design the schema. When queries slow down, you diagnose and fix. When we scale, you architect the solution.

• Design and maintain database schemas for payments, settlements, merchants, subscriptions, and audit logs
• Implement and manage caching layers (Redis) for high-throughput transaction processing
• Set up data pipelines—CDC (Change Data Capture), event sourcing, real-time analytics feeds
• Execute zero‑downtime migrations and schema evolutions
• Support product teams with data modeling, query optimization, and performance troubleshooting
• Monitor database health, set up alerting, and respond to performance incidents

Requirements

• 3–5 years database engineering with high-volume production systems
• Deep PostgreSQL expertise—query optimization, indexing, partitioning, replication, EXPLAIN ANALYZE
• Strong Redis experience for caching, rate limiting, and real-time data structures
• Experience with migrations, schema evolution, and zero‑downtime deployments
• Understanding of ACID, transaction isolation levels, and distributed systems concepts

Good to Have

• Fintech experience—ledgers, double-entry accounting, reconciliation
• Kafka for CDC and event streaming pipelines