Java Software Engineer

We are looking for an experienced Java + Apache Spark Developer with 6+ years of hands-on experience in building scalable, high-performance data processing applications. The ideal candidate should have strong expertise in Java, distributed data processing, and big data ecosystems.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using Java and Apache Spark
• Develop batch and real-time data pipelines
• Optimize Spark jobs for performance, scalability, and reliability
• Work with large datasets using distributed computing frameworks
• Integrate Spark applications with Hadoop ecosystem tools (HDFS, Hive, etc.)
• Collaborate with data engineers, analysts, and cross-functional teams
• Troubleshoot production issues and ensure high availability
• Follow best practices in coding, testing, and deployment

Required Skills & Qualifications

• 5+ years of experience in Java development
• Strong hands-on experience with Apache Spark (Core, SQL, DataFrames, Datasets)
• Good understanding of Hadoop ecosystem (HDFS, Hive, YARN)
• Experience in writing complex SQL queries
• Knowledge of distributed systems and parallel processing
• Experience with REST APIs and microservices architecture
• Familiarity with version control systems (Git)
• Strong debugging and performance tuning skills

Preferred Skills

• Experience with Spark Streaming / Structured Streaming
• Knowledge of Kafka for real-time data processing
• Cloud experience (AWS / Azure / GCP)
• Experience with Docker/Kubernetes
• CI/CD pipeline exposure
• Understanding of data warehousing concepts

Education

• Bachelors or Masters degree in Computer Science, Engineering, or related field

Soft Skills

• Strong problem-solving skills
• Good communication and stakeholder interaction
• Ability to work in Agile/Scrum environment