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The Role
Design and build scalable Java/Spring microservices and high-volume ETL pipelines using Spring Batch. Develop secure RESTful APIs, implement Kafka/RabbitMQ messaging and real-time streaming, optimize databases and SQL performance, and maintain CI/CD and containerized deployments for high-availability systems.
Summary Generated by Built In
Key Responsibilities
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, OAuth2, 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 RabbitMQ.
- 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 (PostgreSQL, 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.
Skills Required
- 4-7 years professional backend software engineering experience
- Deep understanding of Java (8+)
- Expert-level proficiency in Spring Boot
- Expert-level proficiency in Spring Batch and building ETL/ELT workflows
- Experience architecting and maintaining production-grade ETL pipelines
- Hands-on experience with message brokers (Kafka or RabbitMQ)
- Kafka experience (preferred)
- Advanced knowledge of relational databases (PostgreSQL, Oracle, or SQL Server) and complex SQL
- Database performance tuning, indexing strategies, and query optimization for large datasets
- API security best practices, OWASP, and experience with Spring Security, OAuth2, and JWT
- Familiarity with Docker and Kubernetes
- Experience with CI/CD pipelines (Jenkins or GitLab)
- Apply domain-driven design (DDD) principles
- Experience with cloud platforms (AWS/Azure/GCP)
- Knowledge of NoSQL databases (MongoDB, Cassandra)
- Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack)
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The Company
