Java Application Developer

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
• 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
• 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.

Job Family Group:

Job Family:

Time Type:

Most Relevant Skills

Other Relevant Skills

Qualifications

• 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 Qualifications

• 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.)
• Bachelor’s/University degree or equivalent experience
• Technology
• Applications Development
• 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.
• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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