Big Data Developer

Key Responsibilities

• Analyse and provide feedback on functional specifications and business requirements.
• Design and develop high-quality solutions in accordance with defined technical standards.
• Provide detailed development estimates and contribute to solution planning.
• Develop and test applications using TDD and BDD approaches.
• Perform non-functional testing, code reviews and design reviews.
• Prepare technical documentation for solution design and implementation.
• Support functional testing and User Acceptance Testing (UAT).
• Provide Level 3 production support, investigate application issues and implement appropriate resolutions.
• Contribute to solution design, performance tuning and continuous improvement initiatives.
• Collaborate effectively with cross-functional teams in an Agile/Scrum environment.

Requirements

• Minimum 8 years of relevant experience in Java/J2EE development.
• Hands-on experience in Big Data technologies is preferred.
• Bachelor's or Technical Degree in Computer Science, Information Systems, Information Technology or a related discipline is preferred.
• Strong understanding of Agile/Scrum methodologies.
• Proven experience in end-to-end design and implementation of complex IT systems.
• Good understanding of software development processes and established development practices.
• Experience in corporate banking and/or cash management is advantageous.

Technical Skills

Candidates should have experience with several of the following:

• Java/J2EE, preferably Java 8 or above, including parallelism and concurrency.
• Apache Spark, Flink or Storm for processing and transforming large datasets.
• HBase and Elasticsearch for Big Data storage and CRUD operations.
• IBM MQ and Kafka for messaging and event processing.
• AWS, GCP or other cloud platforms.
• Spring, Spring REST, Web Services, gRPC and Microservices for API and application development.
• Maven, Gradle, Jenkins, Git and GitLab for build and release management.
• JUnit and Cucumber for automated testing and BDD.
• Jira and SonarQube for project and code quality management.
• UML and GitHub Copilot or similar development productivity tools.
• Kibana, Spark UI and ELK for application monitoring, debugging and root-cause analysis.
• Experience with DevOps, release management and production support is strongly preferred.

Core Competencies

• Strong analytical and problem-solving skills.
• Good organisational and communication skills.
• Strong teamwork and collaboration skills.
• Willingness to explain and share technical knowledge with team members.
• Ability to follow established software development procedures and standards.
• Ability to work effectively in a multicultural and collaborative environment.
• Strong attention to quality, performance and maintainability.

EA Number: 11C4879