Java Developer - Flink/Spring Boot (5-8 yrs)

Job Description :

We are seeking a highly skilled Flink, Java, and Spring Boot Developer to design and develop real-time data processing systems and microservices. The ideal candidate will have a strong background in Apache Flink, Java, and Microservices architecture, combined with expertise in building scalable and high-performing applications using Spring Boot.

Key Responsibilities :

- Design and implement real-time data processing pipelines using Apache Flink.

- Develop and maintain robust, scalable microservices using Java and Spring Boot.

- Build and consume RESTful APIs for seamless integration between services.

- Optimize and troubleshoot distributed data processing systems for performance and reliability.

- Collaborate with data engineers, DevOps, and product teams to deliver end-to-end solutions.

- Ensure the scalability, performance, and security of applications and systems.

- Work with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).

- Implement unit testing, integration testing, and continuous deployment pipelines.

- Stay updated on emerging technologies and contribute to their adoption within the team.

Requirements :

- Strong programming skills in Java with a focus on back-end development.

- Hands-on experience with Apache Flink for real-time data processing.

- Expertise in building scalable microservices using Spring Boot and Spring Cloud.

- Proficiency with RESTful APIs and their integration with front-end or external systems.

- Experience working with relational databases (SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).

- Familiarity with containerization (Docker) and orchestration tools (Kubernetes).

- Strong knowledge of messaging systems like Kafka, RabbitMQ, or ActiveMQ.

- Experience with version control systems such as Git.

- Understanding of cloud platforms (e.g., AWS, Azure, or Google Cloud) and DevOps practices.

- Excellent problem-solving skills, debugging abilities, and communication skills.

Nice to Have :

- Knowledge of data streaming patterns and distributed systems.

- Experience with batch processing tools like Apache Spark.

- Familiarity with CI/CD pipelines and monitoring tools like Jenkins, Prometheus, or Grafana.

- Exposure to event-driven architectures.

- Knowledge of Agile methodologies and working in a Scrum team.

Education and Certifications :

- Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).

- Certifications in Java, Spring, or cloud platforms are a plus.

Benefits :

- Competitive salary and performance-based incentives.

- Flexible work arrangements, including remote options.

- Opportunities for professional development and certification support.

- Comprehensive health insurance and wellness programs.

- Collaborative work environment with cutting-edge technologies.