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The Applications Development Senior Programmer Analyst is an intermediate-level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
Develop and maintain Java-based applications using the Spring framework
Design and implement batch processing solutions using Spark Batch for large-scale data processing
Build real-time data pipelines using Spark Streaming for processing streaming data
Collaborate with cross-functional teams to define, design, and deliver new features
Optimize data processing workflows for performance, scalability, and reliability
Troubleshoot and resolve issues related to data processing, application performance, and system integration
Write clean, maintainable, and well-documented code following best practices
Participate in code reviews, unit testing, and system testing to ensure quality deliverables
Stay updated with emerging technologies and propose improvements to existing systems.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
8+ years of professional experience in Java development
Strong proficiency in Java (version 8 or higher) and object-oriented programming
Hands-on experience with Spring (Spring Boot, Spring MVC, or Spring Data) for building enterprise applications
Expertise in Spark Batch for large-scale data processing and analytics
Experience with Spark Streaming for real-time data processing and streaming pipelines
Familiarity with distributed computing concepts and big data frameworks
Proficiency with version control systems like Git
Knowledge of build tools such as Maven or Gradle
Understanding of Agile/Scrum methodologies
Strong problem-solving and analytical skills
Excellent communication and teamwork abilities
Ability to manage multiple priorities and work independently.
Nice to have:
Experience with big data technologies like Hadoop, Kafka, or Hive
Knowledge of containerization tools like Docker or Kubernetes
Experience with CI/CD pipelines and tools like Jenkins
Understanding of data storage solutions like HDFS.
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