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

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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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