1. Backend & Microservices Development Design, develop, and implement scalable, resilient microservices using Java and Spring Boot. Apply domain-driven design (DDD) principles to ensure service isolation and maintainability. Optimize application performance for low latency and high throughput. 2. ETL & Data Pipeline Engineering Architect and maintain complex ETL/ ELT workflows utilizing Spring Batch. Configure batch components for high-volume data ingestion and intricate transformations. Implement advanced batch features, including job partitioning, multi-threaded steps, and custom fault-tolerance policies (skip/retry logic). 3. API Design & Security Develop and document RESTful APIs that facilitate seamless data exchange between internal systems and external partners. Enforce rigorous security standards using Spring Security, O - Auth 2, and JWT. Ensure high availability and reliability of public-facing and internal endpoints. 4. Messaging & Real-Time Streaming Build event-driven architectures using Kafka or Rabbit. MQ. Implement real-time data triggers and stream processing to support asynchronous system communication. 5. Database Management & Optimization Demonstrate SQL Mastery by designing efficient schemas and writing complex queries for data analysis. Perform database performance tuning, indexing strategies, and query optimization to handle large-scale datasets Required Skills & Qualifications Experience: 4–7 years of professional experience in backend software engineering. Java Mastery: Deep understanding of Java (8 ) and core Spring Framework concepts. Spring Ecosystem: Expert-level proficiency in Spring Boot and Spring Batch. Data Engineering: Proven track record of building production-grade ETL pipelines. Messaging: Hands-on experience with message brokers (Kafka preferred) for distributed systems. Database: Advanced knowledge of Relational Databases (Postgre. SQL, Oracle, or SQL Server) and complex SQL. Security: Solid understanding of API security best practices and web vulnerabilities (OWASP). Tools: Familiarity with Docker, Kubernetes, and CI/ CD pipelines (Jenkins/ GitLab). Preferred Qualifications Experience with cloud platforms (AWS/ Azure/ GCP). Knowledge of NoSQL databases (MongoDB, Cassandra). Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.