Full Stack Developer (Java + Data + Analytics UI | React)

📍 Job Overview

Job Title: Full Stack Developer (Java + Data + Analytics UI | React)

Company: Keyrus UK

Location: Bengaluru, Karnataka, India | Pune City, Maharashtra, India

Job Type: FULL_TIME

Category: Technology / Software Development / Data & Analytics

Date Posted: April 24, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• Develop and maintain robust, full-stack applications with a focus on Java backend services and React.js frontend for data visualization and analytics.

• Contribute to critical data migration and reconciliation initiatives by building intuitive user interfaces and efficient APIs.

• Collaborate with international, multidisciplinary teams to deliver data-driven solutions that enhance business understanding and decision-making.

• Translate complex data requirements and business needs into scalable, user-centric technical solutions within a hybrid work environment.

📝 Enhancement Note: This role is positioned at a mid-to-senior level within Full Stack Development, with a specific emphasis on bridging the gap between complex data processing and user-friendly analytics interfaces. The "Full Stack Developer (Java + Data + Analytics UI | React)" title clearly indicates the need for expertise across the entire development stack, with a strong bias towards data-centric applications and front-end visualization. The hybrid model and specific working hours suggest a structured, yet flexible, work environment common in international consulting firms.

📈 Primary Responsibilities

• Design and implement interactive UI applications using React.js to effectively visualize analytics outputs, reconciliation reports, and data migration progress.

• Develop and integrate robust Java-based REST APIs and data processing components to serve as the backbone for frontend applications.

• Contribute to the design and implementation of data processing and transformation logic, specifically supporting complex analytics use cases.

• Support the development and enhancement of the analytics data store (PADS), ensuring it effectively supports client and product insights.

• Enable informed migration decision-making by exposing relevant data, metrics, and validation tools through intuitive UI dashboards.

• Translate intricate business requirements and data specifications into scalable, maintainable, and user-centric technical solutions.

• Collaborate closely with data engineers, backend developers, QA teams, and business stakeholders to ensure seamless end-to-end delivery of features.

• Proactively ensure the performance, reliability, and responsiveness of all developed applications across various user scenarios.

• Participate actively in code reviews, team discussions, and agile ceremonies to foster a collaborative and high-quality development environment.

📝 Enhancement Note: The responsibilities highlight a need for a developer who can not only code but also understand the "why" behind data migration and analytics. The emphasis on UI usability for complex data, API development, and collaboration with diverse teams points towards a role that requires strong problem-solving skills and the ability to connect technical implementation with business outcomes.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Computer Science, Engineering, or a related field is typically expected for a role of this seniority and technical depth. Equivalent practical experience will also be considered.

Experience: Minimum of 5 years of professional experience in full-stack software development, with a significant portion dedicated to Java backend development and React.js frontend implementation. Experience with data-heavy applications and analytics is crucial.

Required Skills:

• Full Stack Development: 5+ years of comprehensive experience across the full software development lifecycle.

• Java Expertise: Strong proficiency in Java (Java 8+) and experience with the Spring Boot framework for building robust backend services.

• RESTful APIs: Proven ability to design, develop, and integrate RESTful APIs, ensuring efficient data exchange.

• React.js: Advanced skills in frontend development using React.js, including component-based architecture and lifecycle management.

• JavaScript & Web Fundamentals: Deep understanding of JavaScript (ES6+), HTML5, and CSS3.

• State Management: Experience with modern state management libraries such as Redux, Zustand, or similar solutions for complex frontend applications.

• Data-Driven UI: Demonstrated experience in building applications that visualize data, including dashboards, reporting interfaces, filtering mechanisms, and insight generation tools.

• Data Processing/ETL: Experience developing APIs or ETL/data processing pipelines in Java, with a focus on handling large datasets and data transformation logic.

• UI Performance & Responsiveness: Solid understanding of UI performance optimization techniques and ensuring application responsiveness.

• End-to-End Data Flow: Clear comprehension of the entire data flow from backend services through APIs to the user interface.

• Analytical & Problem-Solving: Strong analytical acumen and proven ability to effectively solve complex technical challenges.

• Communication: Excellent ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

• Collaboration & Ownership: A proactive, collaborative mindset with a strong sense of ownership over delivered solutions.

• Language Proficiency: Fluency in English, both written and spoken.

Preferred Skills:

• Data Warehousing: Experience with data warehousing solutions like Snowflake.

• Event-Driven Architectures: Exposure to event-driven systems or data pipeline technologies such as Kafka.

• ETL Frameworks: Familiarity with ETL tools or frameworks like Spring Batch or Apache Airflow.

• Financial Services Context: Previous experience in financial services, particularly with data migration or reconciliation systems.

• Cloud Platforms: Experience working with cloud environments such as Azure or AWS.

• Data Visualization Libraries: Knowledge of specific data visualization libraries like D3.js or Highcharts.

📝 Enhancement Note: The "Must-haves" are very specific and clearly define the core technical competencies required. The "Nice-to-haves" indicate areas where additional experience would make a candidate stand out, particularly in the context of financial services and data infrastructure, suggesting the projects may involve sensitive or complex financial data.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Full-Stack Project Examples: Showcase end-to-end projects demonstrating proficiency in both Java backend development (APIs, data processing) and React.js frontend implementation (interactive UIs, data visualization).

• Data Visualization Case Studies: Include examples of how complex data was transformed into intuitive dashboards or reports, highlighting the problem, solution, and impact.

• API Design & Integration: Present examples of well-designed REST APIs, explaining the data structures, endpoints, and how they were integrated with frontend applications.

• Data Processing & Transformation: Demonstrate experience with handling large datasets, data transformation logic, or ETL pipelines, ideally with quantifiable improvements in efficiency or accuracy.

Process Documentation:

• Workflow Design: For any presented project, be prepared to discuss the workflow design, from initial requirement gathering to final deployment, emphasizing the development process.

• System Implementation: Describe the technologies and architectural decisions made during system implementation, including justifications for choices in Java frameworks, React libraries, and data handling techniques.

• Performance & Optimization: Be ready to detail how application performance and data processing efficiency were measured and optimized, including specific techniques used for both backend and frontend.

📝 Enhancement Note: For a Full Stack Developer role with a data focus, a portfolio should not just list projects but demonstrate the candidate's ability to architect and build complete solutions. Emphasis should be placed on how they translate complex data into actionable insights via the UI and how their Java backend supports these functionalities. Quantifiable results are key.

💵 Compensation & Benefits

Salary Range: INR 15,00,000 – 30,00,000 per year.

• Bottom of the range: For candidates meeting core requirements, requiring initial ramp-up and support.

• Middle of the range: For candidates who are fully autonomous and deliver consistently from Day 1.

• Top of the range: For candidates who are subject matter experts, mentor others, and drive innovation for the role.

Benefits:

• Hybrid Work Model: Allows for 3 days per week in the office, balancing collaboration with personal flexibility.

• Generous Leave: 18 paid leaves plus 9 public holidays.

• Comprehensive Insurance: ₹5 Lakhs medical insurance and ₹10 Lakhs accident insurance.

• Competitive Compensation: Fixed salary with statutory benefits including Employee Provident Fund (EPF).

• International Exposure: Opportunity to work with Keyrus clients globally, gaining diverse consulting experience.

• Performance Incentives: Discretionary Bonus Scheme and Referral Bonus Scheme.

• Professional Development: Access to training and development programs through KLX (Keyrus Learning Experience).

Working Hours: Full-time (40 hours per week), aligned with GMT timezone, starting at 1:00 PM IST.

📝 Enhancement Note: The salary range is competitive for experienced Full Stack Developers in India, particularly for specialized roles involving data and analytics. The explanation of how the range is applied (mastery, impact, autonomy) is a transparent approach to compensation. The benefits package is comprehensive and standard for a professional services firm, with a strong emphasis on development and well-being. The specific start time for the working day (1:00 PM IST) is crucial for candidates to note for scheduling and potential collaboration with European teams.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Consulting, Data & Analytics, AI, Digital Transformation, Management Consulting. Keyrus operates within the rapidly evolving technology consulting landscape, focusing on helping organizations leverage their data for strategic advantage.

Company Size: 3,300+ employees worldwide. This indicates a substantial, established global organization with significant resources and a broad client base, offering opportunities for diverse project involvement and career growth.

Founded: 1996. With over 25 years of history, Keyrus has a proven track record and deep-seated expertise in its core areas. This longevity suggests stability and a mature approach to business and client engagement.

Team Structure:

• Multidisciplinary Teams: Developers will work within project teams comprising data scientists, data engineers, backend specialists, QA engineers, and business consultants.

• International Collaboration: The role explicitly mentions collaboration with international teams, implying a matrixed reporting structure and significant cross-border interaction.

• Client-Facing Projects: As a consulting firm, teams are often structured around specific client engagements, requiring adaptability and a client-centric approach.

Methodology:

• Agile Development: While not explicitly stated, consulting firms typically employ agile methodologies (Scrum, Kanban) for project delivery, emphasizing iterative development, collaboration, and adaptability.

• Data-Driven Decision Making: The company's core business is "making data matter," so a data-driven approach is fundamental to all projects, including internal operations and client solutions.

• Focus on Impact: Keyrus emphasizes translating data into tangible business outcomes, shaping understanding, designing experiences, and enabling better decisions.

Company Website: https://jobs.keyrus.co.uk

📝 Enhancement Note: Keyrus's emphasis on "making data matter — truly matter — from a human perspective" suggests a culture that values not just technical prowess but also the practical application and impact of technology. The global presence and diverse service offerings mean opportunities to work on varied projects with different technologies and industries.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Mid-to-Senior Full Stack Developer. It implies a level of autonomy, the ability to mentor junior developers, and significant contribution to architectural decisions. The "Full Stack Developer (Java + Data + Analytics UI | React)" title suggests a specialization within full-stack development, focusing on data-intensive applications and user experience for analytics.

Reporting Structure: Likely to report to a Technical Lead or Project Manager within a specific project team. Collaboration will be extensive with cross-functional team members (data engineers, backend, QA, business analysts) and potentially client stakeholders.

Operations Impact: Full stack developers in this context are instrumental in translating complex data analytics and migration logic into user-friendly interfaces and robust backend services. Their work directly impacts a client's ability to understand, validate, and act upon their data, driving key business decisions, efficiency improvements, and potentially revenue growth. The role involves enabling migration decision-making through accessible data visualization.

Growth Opportunities:

• Technical Specialization: Deepen expertise in Java, Spring Boot, React.js, or specific data technologies (e.g., data warehousing, big data processing, visualization libraries).

• Lead Roles: Progress to Senior Full Stack Developer, Technical Lead, or Architect roles, taking on more responsibility for design, team guidance, and project delivery.

• Cross-Functional Exposure: Gain exposure to data science, AI, cloud technologies, and management consulting through diverse project assignments.

• Client Management: Develop skills in client communication, requirements gathering, and solution presentation, potentially leading to client-facing roles.

• Global Mobility: With Keyrus operating in 28+ countries, there may be opportunities for international assignments or collaborations.

📝 Enhancement Note: The growth path for a developer at Keyrus appears to be a blend of deepening technical expertise and expanding into leadership, project management, or specialized consulting domains. The emphasis on "autonomy increases with seniority" suggests a meritocratic approach where strong performers are given more responsibility and opportunities for advancement.

🌐 Work Environment

Office Type: The role is hybrid, requiring 3 days per week in the office. This suggests an office environment designed for collaboration, team meetings, and focused work, balanced with remote flexibility.

Office Location(s): Bengaluru, Karnataka, India and Pune City, Maharashtra, India. These are major tech hubs in India, offering access to talent and a vibrant professional ecosystem.

Workspace Context:

• Collaborative Hub: Office days are likely geared towards team sync-ups, brainstorming sessions, and pair programming, fostering a strong team dynamic.

• Technology-Rich Environment: Expect access to modern development tools, high-speed internet, and potentially dedicated project spaces.

• Cross-Functional Interaction: The hybrid model facilitates face-to-face interaction with diverse team members, crucial for complex data projects.

Work Schedule: Full-time (40 hours/week), aligned with the GMT timezone, starting at 1:00 PM IST. This schedule is designed to facilitate overlap with European teams, a common practice in global consulting.

📝 Enhancement Note: The hybrid model and GMT-aligned hours are key characteristics of this role, indicating a need for candidates who can manage their time effectively and are comfortable with a structured schedule that supports international collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter call to assess basic qualifications, experience, and cultural fit.

• Technical Interview(s): Expect one or more in-depth technical interviews focusing on Java, Spring Boot, React.js, API design, data handling, and problem-solving. This may include live coding exercises or discussions of past projects.

• Portfolio Review: A dedicated session to walk through selected projects from your portfolio, explaining your role, technical approach, challenges, and outcomes.

• Case Study/Problem-Solving: You might be given a problem to solve or a scenario to discuss, testing your analytical skills, approach to complex data issues, and ability to translate requirements into technical solutions.

• Hiring Manager/Team Lead Interview: A discussion focused on team fit, career aspirations, understanding of the role, and how you align with Keyrus's values and methodologies.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your full-stack capabilities, particularly those involving data visualization, API development, and

Java backend for data processing.

• Structure Your Narrative: For each project, clearly articulate:

  • The business problem or objective.
  • Your specific role and contributions.
  • The technical architecture and key technologies used (Java/Spring Boot, React, databases, etc.).
  • The challenges faced and how you overcame them.
  • The quantifiable impact or results achieved (e.g., performance improvements, user adoption, data accuracy).

• Highlight Data-to-UI Flow: Emphasize how you bridged the gap between complex backend data and an intuitive frontend experience.

• Be Prepared for Technical Deep Dives: Anticipate questions about your code, design decisions, and troubleshooting approaches.

• Showcase Collaboration: If possible, mention how you collaborated with other team members or stakeholders.

Challenge Preparation:

• Understand the Context: Be ready to discuss scenarios related to data migration, data reconciliation, building analytics dashboards, and optimizing data processing pipelines.

• Think Aloud: When presented with a problem, articulate your thought process, assumptions, and potential solutions. There's often value in how you approach a problem, not just the final answer.

• Focus on Scalability and Efficiency: Given the focus on data and performance, consider how your solutions would scale and remain efficient.

• Prepare Questions: Have thoughtful questions ready for the interviewers about the team, projects, technologies, and company culture.

📝 Enhancement Note: The interview process is designed to assess both technical depth and problem-solving capabilities, with a strong emphasis on practical application through portfolio review and potential case studies. Candidates should prepare to articulate their contributions to data-driven solutions and their ability to manage the full stack from backend data processing to frontend visualization.

🛠 Tools & Technology Stack

Primary Tools:

• Java (Java 8+): Core backend language.

• Spring Boot: Framework for building efficient, production-ready Java applications and RESTful services.

• React.js: Primary library for building interactive and dynamic user interfaces.

• JavaScript (ES6+), HTML5, CSS3: Fundamental web technologies.

• State Management Libraries (Redux, Zustand): For managing complex frontend application state.

Analytics & Reporting:

• Data Visualization Libraries (e.g., D3.js, Highcharts - Preferred): For creating rich visual representations of data.

• Dashboarding Concepts: Understanding principles of designing effective analytics dashboards.

CRM & Automation:

• REST API Development: Essential for inter-service communication and frontend integration.

• Data Processing/ETL Tools/Frameworks (e.g., Spring Batch, Airflow - Preferred): For handling data transformation and migration tasks.

• Data Warehousing (e.g., Snowflake - Preferred): For storing and querying large datasets.

• Event-Driven/Data Pipeline Technologies (e.g., Kafka - Preferred): For real-time data streaming and processing.

• Cloud Platforms (Azure, AWS - Preferred): For deployment, scaling, and leveraging cloud services.

📝 Enhancement Note: The technology stack is modern and robust, reflecting industry best practices for building scalable, data-intensive applications. Proficiency in Java/Spring Boot and React is non-negotiable, while experience with data warehousing, cloud platforms, and specific data pipeline tools will significantly strengthen a candidate's profile.

👥 Team Culture & Values

Operations Values:

• Data-Driven Impact: A core value is leveraging data to create tangible business impact, driving understanding, decisions, and growth. Operations professionals are expected to be analytical and focused on measurable outcomes.

• Human Perspective: Keyrus emphasizes a human-centric approach, meaning solutions should be intuitive, user-friendly, and address real-world needs, not just technical challenges.

• Ownership & Autonomy: Employees are encouraged to take ownership of their work, with increasing autonomy granted based on experience and performance. This fosters a proactive and responsible work environment.

• Innovation & Flexibility: The company values exploring new technologies and approaches, encouraging flexibility in problem-solving and adapting to evolving client needs.

• Trust & Diversity: Building an inclusive workplace where diverse perspectives are valued is a stated priority, fostering a collaborative and respectful environment.

Collaboration Style:

• Cross-Functional Integration: Expect close collaboration with diverse teams (data engineers, backend, QA, business analysts) to ensure holistic solution delivery.

• Agile Practices: Likely involves iterative development, regular feedback loops, and continuous improvement within project teams.

• Knowledge Sharing: Encouragement of sharing insights, best practices, and learnings across teams and projects, potentially through internal platforms like KLX.

• Global Teamwork: Working effectively with colleagues across different time zones and cultural backgrounds is essential.

📝 Enhancement Note: The culture appears to be a blend of a typical tech consultancy (client-focused, project-driven, agile) with a strong emphasis on data's practical impact and a commitment to diversity and inclusion. Candidates should demonstrate an ability to work independently and collaboratively, with a focus on delivering value through data.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Accuracy: Working within a data migration and reconciliation context means dealing with potentially complex, large, and sensitive datasets where accuracy and validation are paramount.

• Bridging UI/Data Gap: Balancing the need for intuitive, user-friendly interfaces with the underlying complexity of data structures and backend processing logic.

• Evolving Requirements: In a consulting environment, client needs can evolve, requiring adaptability, proactive problem-solving, and the ability to pivot technical approaches.

• International Collaboration: Effectively communicating and collaborating with teams across different time zones and cultures can present logistical and communication challenges.

• Balancing Autonomy and Guidance: As seniority increases, so does autonomy, requiring individuals to self-manage and lead while still being part of a larger team structure.

Learning & Development Opportunities:

• Technical Skill Advancement: Opportunities to deepen expertise in Java, Spring Boot, React, and explore related technologies like cloud platforms, data warehousing, and advanced visualization.

• Industry Exposure: Gaining experience with data migration, reconciliation, and analytics in potentially financial services contexts, broadening industry knowledge.

• Cross-Functional Learning: Working alongside data scientists, engineers, and consultants provides exposure to different domains and skill sets.

• Formal Training: Access to Keyrus Learning Experience (KLX) for structured professional development.

• Mentorship: Potential for mentorship from senior developers and technical leads, guiding career progression and skill development.

📝 Enhancement Note: The challenges are typical for a senior developer in a consulting role focused on data transformation, requiring strong technical skills, adaptability, and excellent communication. The growth opportunities are robust, offering a clear path for both technical specialization and broader professional development within a global organization.

💡 Interview Preparation

Strategy Questions:

• Technical Approach: "Describe a complex data migration or analytics feature you built. What was the technical challenge, how did you approach it using Java and React, and what was the outcome?" (Focus on architecture, data flow, problem-solving).

• Data Visualization Design: "How would you design a dashboard to help business users validate a large data migration? What key metrics would you include, and what UI components would you use in React?" (Tests UI/UX thinking for data).

• API Design & Integration: "Walk me through the process of designing a REST API endpoint to serve data for a React component. What considerations would you have for performance, security, and data structure?"

• Problem-Solving Scenarios: "Imagine a scenario where data reconciliation shows discrepancies. How would you use your full-stack skills to build a tool or interface to help users identify and resolve these issues?" (Tests analytical and solution-oriented thinking).

Company & Culture Questions:

• Keyrus Values: "How do you see yourself contributing to Keyrus's value of 'making data matter from a human perspective' in this role?" (Demonstrates understanding of company mission).

• Hybrid Work: "How do you manage collaboration and productivity in a hybrid work environment, especially when working with international teams?" (Assesses fit for the work model).

• Teamwork: "Describe a time you had to collaborate closely with a data engineering or business stakeholder to deliver a feature. What was your approach?" (Highlights collaboration skills).

Portfolio Presentation Strategy:

• Showcase End-to-End Solutions: Select projects that clearly demonstrate your ability to build both the backend (Java/APIs) and the frontend (React UI for data).

• Quantify Impact: For each project, be ready to present concrete metrics on performance, efficiency, user adoption, or business value.

• Explain the "Why": Clearly articulate the business problem your project solved and how your technical solution addressed it.

• Be Tech-Specific: Be prepared to discuss architectural decisions, data models, API design choices, and specific React patterns you used.

• Interactive Demo (if possible): If your portfolio includes live demos or interactive prototypes, be ready to present them smoothly.

📝 Enhancement Note: Preparation should focus on demonstrating not just coding skills but also the ability to solve business problems with data-driven technology solutions. Candidates should be ready to articulate their thought process, technical choices, and the impact of their work, aligning with Keyrus's mission and consulting approach.

📌 Application Steps

To apply for this Full Stack Developer position:

• Submit your application through the provided link on the Keyrus UK jobs portal.

• Resume Optimization: Tailor your resume to highlight your 5+ years of full-stack experience, specifically emphasizing Java/Spring Boot, React.js, REST API development, and any experience with data migration, analytics, or data-driven UIs. Use keywords from the job description.

• Portfolio Preparation: Select 2-3 key projects that showcase your end-to-end development capabilities, particularly those involving complex data visualization, API integration, and backend data processing. Be ready to articulate the problem, your solution, the technologies used, and the quantifiable results.

• Technical Readiness: Brush up on Java (Java 8+), Spring Boot, React.js fundamentals, JavaScript (ES6+), HTML5, CSS3, and common state management patterns. Be prepared for live coding or technical discussion questions.

• Company Research: Familiarize yourself with Keyrus's mission, values, and the "making data matter" philosophy. Understand their global presence and focus areas (Data & Analytics, AI, Digital). Research their approach to consulting and client delivery.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.