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 contemporary 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.
- Optimize application performance and browser compatibility.

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.
- Participate in infrastructure and platform modernization initiatives.

Preferred Skills
- Core Java
- Java Management Extensions (JMX)
- Springboot
- Databricks

📌 Sr. Java Full Stack and Data Engineering Consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru