Consultant - Java Full Stack Engineer

6 - 12 years

0 Lacs

Posted:22 hours ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: Vivanti is on a mission to transform businesses and create a smarter, more connected world through the power of data and technology. As a Data Consultant at Vivanti, you will be responsible for designing, building, and maintaining the infrastructure and architecture needed for data collection, storage, and analysis. Your role will involve ensuring that data is accessible, reliable, and secure for data scientists and analysts, playing a crucial part in driving digital change. Key Responsibilities: - Architect, develop, test, and deploy full-stack applications, backend services, APIs, and interactive frontends - Optimize and manage relational databases, including writing performant SQL queries, designing schemas, tuning indexes, and troubleshooting joins/subqueries - Stay updated on emerging tools, frameworks, and data/cloud trends to drive continuous improvement - Support solution delivery throughout the project lifecycle, from design workshops to production maintenance Qualifications Required: - 6 - 12 years of full-stack development experience - Proficiency in Java-based backend frameworks such as Quarkus, Spring Boot, etc. - Frontend expertise in Vite, Svelte, React.js, Angular, Vue.js, etc. - Solid understanding of RESTful APIs, GraphQL, and WebSockets - Experience with cloud-native platforms (Azure preferred) and containerization (Docker, Kubernetes) - Familiarity with SQL/NoSQL databases like PostgreSQL, MySQL, MongoDB, DynamoDB - Strong foundation in application security, testing (unit/integration), and CI/CD pipelines - Knowledge of microservices architecture and event-driven patterns like Kafka, RabbitMQ - Excellent communication skills to explain complex technical concepts to non-technical stakeholders Additional Details: At Vivanti, we value breadth in skills and believe in having fun while working together. Our team consists of deeply curious technologists who love to explore new tools and technologies. Join us on this journey to shape tomorrow's data-driven world!,

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