Big Data Engineer - Full Stack (Java/Scala)

As a Big Data Engineer at Barclays, you will play a crucial role in evolving the digital landscape and driving innovation. By utilizing cutting-edge technology, you will be at the forefront of revolutionizing digital offerings to ensure exceptional customer experiences. **Key Responsibilities:** - Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring scalability, maintainability, and performance optimization. - Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and align with business objectives. - Engage in peer collaboration, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay updated on industry technology trends, contribute to the organization's technology communities, and strive for technical excellence and growth. - Adhere to secure coding practices to mitigate vulnerabilities, protect data, and ensure secure software solutions. - Implement effective unit testing practices to ensure proper code design, readability, and reliability. **Qualifications Required:** - Full Stack Software Development experience for large-scale, mission-critical applications. - Proficiency in distributed big data systems like Spark, Hive, Kafka streaming, Hadoop, Airflow. - Expertise in Scala, Java, Python, J2EE technologies, Microservices, Spring, Hibernate, REST APIs. - Hands-on experience with n-tier web application development and frameworks like Spring Boot, Spring MVC, JPA, Hibernate. - Knowledge of version control systems, preferably Git, with GitHub Copilot experience being a plus. - Proficient in API Development using SOAP or REST, JSON, and XML. - Experience in developing back-end applications with multi-process and multi-threaded architectures. - Hands-on experience in building scalable microservices solutions using integration design patterns, Dockers, Containers, and Kubernetes. - Familiarity with DevOps practices such as CI/CD, Test Automation, Build Automation using tools like Jenkins, Maven, Chef, Git, Docker. - Experience with data processing in cloud environments like Azure or AWS. - Proficiency in Agile development methodologies like SCRUM. - Strong analytical and problem-solving skills with a result-oriented approach. - Excellent verbal and written communication skills.,