Educational Requirements

Bachelor of Engineering, BCS, BBA, BCom, MCA, MSc

Service Line

Data Analytics Unit

Responsibilities

- Application Development

- Design, develop, and maintain enterprise-grade applications using Java and up-to-date Full Stack technologies.

- Build scalable microservices and RESTful APIs using Spring Boot.

- Develop secure, high-performance, and resilient applications.

- Participate in architecture, design, and code review sessions.

- Full Stack Development

- Develop responsive, intuitive, and user-friendly web applications using React.js or Angular.

- Collaborate with UX/UI teams to implement modern user experiences.

- Build reusable frontend components and frameworks.

Additional Responsibilities

- Technical Leadership

- Mentor junior and mid-level engineers.

- Conduct code reviews and enforce engineering best practices.

- Drive technical discussions and contribute to architecture decisions.





- Lead feature delivery and support resolution of production issues.

- Promote innovation, continuous improvement, and engineering excellence.

Technical and Professional Requirements

- Data Engineering

- Design and develop data pipelines for batch and real-time processing.

- Build ETL/ELT solutions to support analytics and business intelligence initiatives.

- Process and transform large datasets using Spark/PySpark.

- Work with data warehouses and cloud-based data platforms.

- Support data integration, governance, and quality initiatives.

- Cloud DevOps

- Develop and deploy applications on AWS, Azure, or GCP.

- Implement CI/CD pipelines and automation practices.

- Leverage Docker and Kubernetes for containerized deployments

Preferred Skills

- Core Java

- Java Card Programming

- Springboot

- Databricks

📌 Java Full Stack and Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad