Key Responsibilities :

- Design, develop, and maintain high-performance, scalable applications using Java and Big Data technologies

- Build and manage data pipelines to process structured and unstructured data from multiple sources

- Develop and maintain microservices, RESTful APIs, and other distributed systems

- Work with modern Big Data tools and technologies such as :

1. Apache Spark

2. HDFS

3. Ceph Storage

4. Solr / Elasticsearch

5. Apache Kafka

6. Delta Lake

- Write clean, efficient, and well-documented code

- Collaborate with cross-functional teams including Data Engineers, QA, and DevOps

- Participate in code reviews and contribute to continuous improvement of development processes

- Mentor and support junior developers in the team

Required Skills & Qualifications :

- Bachelors degree in Computer Science, Information Technology, or a related field

- 2- 4 years of hands-on experience in Java development with exposure to Big Data ecosystems

- Strong knowledge of core Java, multithreading, and object-oriented programming

- Experience in building data processing pipelines and working with large-scale datasets

- Familiarity with Big Data components like Spark, HDFS, Kafka, Ceph, Delta Lake

- Understanding of REST APIs, microservices architecture, and distributed systems

- Strong problem-solving and analytical skills

- Good verbal and written communication skills

- Ability to work in a fast-paced, collaborative environment

Preferred Skills (Nice to Have) :

- Exposure to cloud platforms (AWS, Azure, GCP) for Big Data deployments

- Experience with NoSQL databases or search engines like Solr/Elasticsearch

- Familiarity with CI/CD tools and agile development practices