Senior Data Engineer

📋 Description Design, build, and optimize data pipelines and backend services using Java and Spring Boot. Lead MongoDB schema design, data modeling, and indexing for low latency. Develop and maintain secure RESTful APIs to enable data exchange with partners. Deploy and manage data workloads on cloud platforms (IBM Cloud, AWS, Azure, GCP). Perform performance tuning to identify bottlenecks and optimize the data stack. Conduct rigorous code reviews and automated testing (JUnit, Mockito). 🎯 Requirements 6-8 years of experience in Data Engineering with MongoDB, API integration, and cloud infra. Expert in Java and Spring Boot. Advanced MongoDB knowledge (Aggregation, Sharding, Replication, Atlas). REST API design, OAuth2, and API Gateway. Experience with cloud environments (IBM Cloud, AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong SQL skills and proficiency with Git, Maven/Gradle, testing frameworks (JUnit, Mockito). 🎁 Benefits Nimbus Data Systems culture values diversity, inclusion, and creativity. No forced hierarchy; opportunity to grow as we grow. Work with leading banks and financial institutions on impactful projects. Global, collaborative teams across multiple cities.