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Tier-1 brand, generalist fullstack title, mid-level experience, metro location, and broad skill set required.
Fullstack Java/React skills are transferable, though advisory/data analytics context prefers consultancy experience.
Mandatory 4+ years and extensive fullstack Java/React/Kafka/DB skillset makes shortlisting stringent.
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Design and develop data infrastructure, including data pipelines and integration solutions for efficient data processing and analysis.
Build and maintain front-end applications using technologies like ReactJS, JavaScript, Redux, and associated frameworks.
Implement and support backend services with Java, Spring Framework, Kafka, and manage SQL/NoSQL databases to enable robust data solutions.
4+ years of professional experience in Full Stack Development or data engineering related roles.
Proficient in React JS, JavaScript, Redux, Typescript, HTML, CSS, Redux Toolkit, Java (Java 8+), J2EE, Microservices, Spring Framework, Kafka, and SQL/NoSQL databases.
Educational Qualification: Bachelor of Engineering (B.Tech) required; M.Tech/MCA/M.E/MBA also acceptable.
Experience with cloud platforms—Google Cloud Platform (Highly Preferred), Azure, or AWS.
Experienced in retail/e-commerce domain or similar business sectors with relevant technology application.
Skilled in both front-end and back-end development within data analytics and event-driven system environments.
Demonstrates strong capability in building scalable, maintainable data engineering solutions leveraging modern full stack frameworks and cloud technologies.