<p>Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff Follows well-established internal conventions and standard procedures Understands internal standards & processes an applies them to make technical decisions Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions May contribute to code & design reviews Develop and maintain a robust and scalable big data insights platform to drive AI-assisted process automation and deliver actionable insights. Develop solutions that combine state-of-the-art Generative AI techniques with rich data to deliver best-in-class automation and user experience. Design and implement batch and near-real-time data pipelines using Spark, Flink, and BigQuery. Design and implement efficient data models in relational and NoSQL databases like MySQL, Druid, BigQuery, and HBase. Leverage cloud-native technologies to build world-class backend platforms. Work closely with cross-functional teams and other stakeholders to deliver features. Lead feature or component design reviews and is fully recognized as the go-to developer for that component. Participate in architecture discussions and propose and discuss solutions to platform and product changes. Stay current with emerging technologies and promote a culture of excellence Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. Proficiency in Java and Spring framework or equivalent Proficiency in designing, implementing, and integrating REST API services Experience with relational and NoSQL databases like MySQL, HBase, DynamoDB or equivalent Knowledge of OLAP databases like BigQuery, Druid, Starrocks or equivalent Knowledge of streaming data platforms like Kafka or equivalent Knowledge of distributed systems, stream processing, data model design, and cloud-native technologies Experience with Python for AI workflows is a plus Experience with cloud vendor platforms (GCP/AWS/Azure) is a plus Experience with frontend development is a plus Experience with RDBMS and NoSQL databases, including database schema design, distributed data processing, caching, and query optimization strategies Experience with big data technologies Experience with cloud vendor platforms (GCP/AWS/Azure) Experience using agentic AI developer tools Experience with emerging AI design patterns Frontend full-stack experience Knowledge of payment processing or the regulatory compliance industry Solid knowledge in Java and experience in the design and implementation of REST APIs, Spring Boot. Experience in micro-service and high-concurrency service design and optimization. Experience in large-scale service architecture design. Good understanding of database principles and SQL optimization beyond just data access. Good understanding and experience of message queue and asynchronous programming. Strong communication skills and written English. Experience in event-driven service development is a big plus. Experience in Big Data technology is a big plus. Experience in AI technology is a big plus.</p>