Job Description

Department : Global Banking Technology & Operations

Role Summary

As a Senior Big Data Java Engineer, you will contribute to the development of our client's data lake streaming platform on Azure. Working independently within a Feature Team, your primary responsibilities include:

• Development & Architecture : Architect, design, and build Java applications using Kafka Stream and Spark in Azure; develop scalable, resilient data pipelines.
• Quality Coding : Write and maintain high-quality Java code, ensuring adherence to best practices.
• System Design : Focus on scalability and resiliency when designing systems; troubleshoot performance issues in distributed systems managing large data volumes.
• Code Reviews & Team Collaboration : Conduct code reviews, provide feedback, and support team improvements.
• Customer-Focused Solutions : Break down customer requirements with the Product Owner, ensuring alignment with project goals.
• Testing & Deployment : Manage testing, deployment, and production activities, adhering to chapter guidelines for stability.
• Continuous Improvement : Participate in pair programming, write unit and BDD-style tests (JUnit, Mockito, Cucumber), and engage in backlog refinement.

Key Skills & Competencies

• Proficiency with Java, Kafka Streams, Spark, and Spring Boot (or other Java frameworks).
• Expertise in distributed systems design, especially Big Data systems for batch and real-time processing.
• Experience with cloud platforms (AWS or Azure), and tools such as Elastic Search, Kibana, and Kubernetes.
• Strong understanding of RESTful API design and third-party API integration.
• Proficiency with version control systems like Git.
• Agile methodology experience, ideally Scrum.
• Familiarity with automated testing, including test-driven development, unit and integration testing, and BDD.
• Knowledge of continuous integration tools and service-oriented architectures.
• Excellent analytical skills with the ability to simplify complex problems.
• Results-driven and team-oriented with a focus on collaboration and client satisfaction.

Experience & Education

• 7+ years in Java programming at a senior level.
• 3+ years with Spark, Kafka, and cloud technologies.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field.

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