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 contemporary 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 Skilled 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