[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Bengaluru # Product Integration Engineer MogoDB Bengaluru Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/412547J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Product Integration Engineer MogoDB ## Job description ### Location:- Bangalore/Mumbai Must Have:- - Strong hands-on expertise in MongoDB (Development + Administration) - Experience in: - MongoDB schema design & optimization - NoSQL data modeling and indexing strategies - Query performance tuning and aggregation pipelines - Working knowledge of: - Java / Spring Boot-based backend services - Microservices architecture - REST APIs and JSON-based integrations - Experience with: - High-volume transactional systems / Banking domain (preferred based on base JD context) - CI/CD pipelines, Git, Agile methodologies - 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: - 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