Data Engineer - Java

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 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