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Metro fullstack role with broad skill requirements and a common mid-level title increases candidate competition.
Fullstack and cloud-data skills are broadly transferable across industries and roles.
Moderately strict on fullstack, cloud and data skills but flexible on years and learning willingness.
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Develop, design, and deploy cloud-hosted distributed applications supporting subscription and editorial data platforms.
Build and enhance scalable data infrastructure supporting data discovery, analytics, and AI-driven insights across Elsevier.
Collaborate with agile cross-functional teams to translate business requirements into technical solutions and contribute to architectural decisions.
Proficiency in some of these: Java, JavaScript/TypeScript frameworks (React, Angular, Spring Boot), SQL; willingness to learn others.
Experience using version control systems such as Git and modern IDEs (IntelliJ or VS Code).
Familiarity with Agile methodologies (Scrum, Kanban) and some experience with test-driven development and mocking tools (Jest, Mockito).
Work Experience Required: Not explicitly mentioned in the JD; Location: Must be within commutable distance to Chennai office (hybrid role).
Demonstrates ability to work on cloud-native, event-driven architectures and microservices in data engineering contexts.
Experienced in modern software delivery practices including Agile, DevOps, and collaborative tools (Jira, Confluence).
Interested in continuous learning of distributed data processing frameworks, data modeling, and integration with platforms like Snowflake, Databricks, and Collibra.