Senior Software Engineer - Java

Senior Software Engineer - Java

Location:
Athlone
Type:
Permanent
Category:
Software
Salary:

Negotiable depending on experience

Benefits:

Benefits include healthcare, insurance and pension as well as relocation assistance

Experience required:
Must be eligible to work in Ireland

Senior Software Engineer – Enterprise Java / Analytics

RECRUITERS are proud to represent this Irish IT Services and Solutions company based in Athlone who are looking for a Senior Software Engineer in Java.

On a day to day basis you will be developing, testing and mentoring within an Engineering Scrum Team in an innovative Telecom project.

You will be working with the latest technologies in the market including Enterprise Java, EJB, Big Data, Analytics etc including (and not limited to) large scale data processing and analytics platforms using Hadoop, Spark and Kafka.

It is expected that you bring your own experience and ideas to the development and you will responsible for developing a standard of high quality java code in an agile environment including unit testing and other types of functional and non-functional testing.

SKILLS:

  • A 3rd level degree in Computer Science / IT
  • Very strong knowledge of Java and Web Services including REST
  • Object oriented analysis, design experience
  • Excellent English and Communication skills essential
  • Interface with customers and stakeholders and mitigate risks
  • Excellent analytical and problem-solving skills
  • Ability to work on own initiative and mentor scrum teams

TECHNICAL:

  • Highly experienced in software development using Enterprise Java
  • Experience working with Junit, JMeter, Maven, ANT, GIT, SVN, BitBucket, Jenkins etc.
  • Experience working in an Agile environment with Engineering scrum teams is an added advantage
  • Java/JEE Certification such as OCA/OCP/OCM is an added advantage
  • Understanding of big data engine ecosystem and hands-on experience in building real-time data pipelines and streaming apps
  • Experience in Big Data Analytics platforms and ecosystem
  • Experience in distributed streaming platforms and batch processing systems
  • Hands-on experience in one or more of the following: Hadoop, Spark and Kafka
  • Experience with Docker, Vagrant, Mesos, Aurora, Zookeeper – in general application deployment, management, scheduling and execution in cloud
  • Proficient with APIs and service oriented architectures
  • Object oriented analysis and design using common design patterns
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