Job Description :

We are seeking a skilled Data Engineer with strong Java expertise to design, build, and optimize scalable data platforms. The ideal candidate will have hands-on experience with Big Data technologies and will be responsible for developing efficient data pipelines to support analytics and business intelligence.

Key Responsibilities :

- Design and develop scalable data platform frameworks using Spark, Hadoop, Kafka, and Hive.

- Build and manage batch and real-time data pipelines for analytics and data processing needs.

- Develop high-performance data processing applications using Java, Spring Boot, and microservices architecture.

- Design and implement ETL/ELT pipelines, integrating structured and unstructured data from multiple sources.

- Optimize Spark jobs, SQL queries, and distributed systems for better performance and scalability.

- Work closely with data scientists, analysts, and engineering teams to deliver data-driven solutions.

- Implement CI/CD pipelines and monitoring systems to ensure data pipeline reliability and performance.

Required Skills & Qualifications :

- Strong proficiency in Java (Spring Boot, microservices)

- Hands-on experience with Big Data technologies

- Strong knowledge of SQL & NoSQL databases.

- Experience with ETL/ELT processes and data modeling

- Familiarity with CI/CD tools (Git, Jenkins)

- Understanding of distributed computing and large-scale data processing

- Strong analytical and problem-solving skills

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