Java Application Developer

Role Description: The overall objective of this Java developer is to perform applications and services design and implementation. This is hands-on technical role. This role is going to work as part of global distributed team and partner closely with business analysts, technology and quality assurance teams globally.   Responsibilities:   • Design, develop, and optimize scalable distributed data processing application using Java, Apache Spark and Hive. • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint • Monitor and troubleshoot Spark jobs, ensuring performance optimization and error resolution. • Work on the modernization of big data architecture to meet business requirements in a financial services context. • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation

Essential Skills:   • Experience: 6 to 11 years of hands-on experience in Java and J2ee, as primary skills and additional hands big data development, Hadoop focusing on Spark and distributed systems would be added advantage • Proficiency in Functional Programming: High proficiency in Java, SQL and Spark skill. • Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN. • Programming and Scripting: Advanced knowledge of Java or Scala and a good understanding of Python for data engineering tasks. • Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments. • Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems. • Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications.   Preferred skills: Experience of development and using test automation frameworks is a big plus Understanding of microservice architecture and microservices best practices and patterns, preferably using Spring Boot Experience with containerization – building images and running containers Understanding the concept of dependency injection, experience with DI frameworks (Spring, Guice, Dagger2, etc.) Experience with Message Brokers (Apache Kafka, Solace, RabbitMQ, etc.)

Education: Bachelor’s/University degree or equivalent experience

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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