3 Days Left Senior Java Software Engineer

2 weeks ago

Bengaluru, India Flexton Inc. Full time

Requirements – JAVA, spring Boot, Restful, DS Algo, Experience in building, optimizing, and maintaining large data pipelines , building distributed data services and solutions. Development, Testing, and deployment experience with GitHub, Docker/Kubernetes Job Description: - Strong expertise in Java and the Spring Framework, particularly Spring Boot. - Good understanding of SQL oracle, SQL server or similar languages. - Core Engineering: Data structures & algorithms, testing (Junit etc), Git, clean code. - Experience with graph databases (e.g., Neo4j, JanusGraph) and graph query languages. - Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions). - Cloud Native: Docker, Kubernetes (deploy, network, scale, troubleshoot). - 6+ years of directly applicable experience - BS in Computer Science, Engineering, or equivalent experience. About the team – Our Cloud Data Technologies team oversees data infrastructure and the management of the end-to-end data lifecycle. Project and role – As a Software Engineer on our team, you will work on our Hadoop-based data warehouse and cloud development environment, contributing to scalable and reliable big data solutions and services for analytics and business insights. This is a hands-on role focused on building, optimizing, and maintaining large data pipelines , building distributed data services and solutions. Key Responsibilities - Design, develop, and maintain robust data solutions and services and related Hadoop ecosystems, ensuring data reliability, scalability, and performance. - Optimize and troubleshoot distributed systems for ingestion, storage, and processing. - Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. - Ensure data security, integrity, and compliance throughout the infrastructure. - Maintain documentation and contribute to architecture reviews. - Participate in incident response and operational excellence initiatives for the data warehouse. - Continuously learn and apply new Hadoop ecosystem tools and data technologies.

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