Sr.  Java Full Stack and Data Engineering Consultant

We are seeking a highly skilled Senior Software Engineer / Lead Engineer with expertise in Java, Full Stack Development, and Data Engineering to build and deliver scalable, cloud-native applications and data solutions. The ideal candidate will have strong hands-on experience in backend development, modern frontend frameworks, data processing technologies, and cloud platforms. This role requires a blend of application development, data engineering, system design, and technical leadership, with opportunities to mentor engineers and contribute to strategic technology initiatives. Technical 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. 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. Optimize application performance and browser compatibility. Preferred Skills: Technology->Java->Core Java,Technology->Java->Java Management Extensions or JMX,Technology->Java->Springboot,Technology->Data Engineering->Databricks