Java Full Stack and Data Engineer

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 modern 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