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

• Capco 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.