- Strong NoSQL concepts and distributed database design
- Knowledge of data consistency, replication
- Experience in event-driven architecture / API integrations
Behavioral
- Strong analytical and troubleshooting skills
- Ability to work with cross-functional teams (Product, BA, Ops)
- Positive communication and stakeholder interaction skills
Role descriptions / Expectations from the Role Development & Data Engineering
- Design and develop scalable MongoDB data models for banking/product systems
- Develop and optimize queries, aggregations, and indexing strategies for high performance
- Build and integrate MongoDB with microservices and APIs
Performance & Optimization
- Monitor database performance and tune queries / collections / indexes
- Handle large datasets and ensure high throughput and low latency
- Conduct performance testing and troubleshoot production issues
Integration & Solutioning
- Integrate MongoDB with:
- Core banking systems
- Middleware / API layers
- Event streaming systems (Kafka, etc.) (preferred)
- Support data migration and modernization initiatives
Support & Maintenance
- Troubleshoot issues raised by customers / production teams
- Maintain technical documentation (schemas, APIs, performance reports)
- Participate in code reviews and enforce best practices
- Collaborate with Business Analysts / Customers to understand the requirements and translate them into low level design and then code
- Coordination between onsite and offshore teams to perform the work
- Performance reviews of the system performance and fixing any glitches
- Developing reports and data extracts