Location:- Bangalore/Mumbai
Must Have:-
1. Strong hands-on expertise in MongoDB (Development + Administration)
2. Experience in:
• MongoDB schema design & optimization
• NoSQL data modeling and indexing strategies
• Query performance tuning and aggregation pipelines
3. Working knowledge of:
• Java / Spring Boot-based backend services
• Microservices architecture
• REST APIs and JSON-based integrations
4. Experience with:
• High-volume transactional systems / Banking domain (preferred based on base JD context)
• CI/CD pipelines, Git, Agile methodologies
5. Exposure to:
• Cloud platforms (AWS / Azure)
• Containerization (Docker / Kubernetes) (good to have)
Technical
• 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)
• Good communication and stakeholder interaction skills
Domain Preference
• Banking / Financial Services (Core Banking, Payments, Digital Banking)
Role Description:-
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:
o Core banking systems
o Middleware / API layers
o Event streaming systems (Kafka, etc.) (preferred)
o Support data migration and modernization initiatives
Support & Maintenance
• 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