Job
Description
As a Big Data Engineer at Barclays, you will play a crucial role in revolutionizing the digital landscape and enhancing customer experiences. Your responsibilities will include: - Developing and delivering high-quality software solutions utilizing industry-aligned programming languages, frameworks, and tools to ensure scalability, maintainability, and performance optimization. - Collaborating cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and align with business objectives. - Participating in code reviews, promoting a culture of code quality, and sharing knowledge with peers. - Staying informed of industry technology trends, contributing to technical communities, and fostering a culture of technical excellence and growth. - Adhering to secure coding practices to mitigate vulnerabilities, protect data, and ensure secure software solutions. - Implementing effective unit testing practices to ensure proper code design, readability, and reliability. You should possess the following essential skills: - Full Stack Software Development experience for large-scale, mission-critical applications. - Proficiency in distributed big data systems like Spark, Hive, Kafka streaming, Hadoop, and Airflow. - Expertise in Scala, Java, Python, J2EE technologies, Microservices, Spring, Hibernate, and REST APIs. - Experience with n-tier web application development and frameworks such as Spring Boot, Spring MVC, JPA, and Hibernate. - Proficiency in version control systems, preferably Git, with GitHub Copilot experience being a plus. - Proficient in API Development using SOAP or REST, JSON, and XML. - Hands-on experience in building scalable microservices solutions using integration design patterns, Dockers, Containers, and Kubernetes. - Familiarity with DevOps practices like CI/CD, Test Automation, and Build Automation using tools like Jenkins, Maven, Chef, Git, and Docker. - Experience with data processing in cloud environments like Azure or AWS. - Strong analytical and problem-solving skills with a result-oriented mindset. - Excellent verbal and written communication and presentation skills. This role is based in Pune and aims to design, develop, and enhance software to provide business, platform, and technology capabilities for customers and colleagues. --- *Note: The additional details of the company were not included in the provided job description.* As a Big Data Engineer at Barclays, you will play a crucial role in revolutionizing the digital landscape and enhancing customer experiences. Your responsibilities will include: - Developing and delivering high-quality software solutions utilizing industry-aligned programming languages, frameworks, and tools to ensure scalability, maintainability, and performance optimization. - Collaborating cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and align with business objectives. - Participating in code reviews, promoting a culture of code quality, and sharing knowledge with peers. - Staying informed of industry technology trends, contributing to technical communities, and fostering a culture of technical excellence and growth. - Adhering to secure coding practices to mitigate vulnerabilities, protect data, and ensure secure software solutions. - Implementing effective unit testing practices to ensure proper code design, readability, and reliability. You should possess the following essential skills: - Full Stack Software Development experience for large-scale, mission-critical applications. - Proficiency in distributed big data systems like Spark, Hive, Kafka streaming, Hadoop, and Airflow. - Expertise in Scala, Java, Python, J2EE technologies, Microservices, Spring, Hibernate, and REST APIs. - Experience with n-tier web application development and frameworks such as Spring Boot, Spring MVC, JPA, and Hibernate. - Proficiency in version control systems, preferably Git, with GitHub Copilot experience being a plus. - Proficient in API Development using SOAP or REST, JSON, and XML. - Hands-on experience in building scalable microservices solutions using integration design patterns, Dockers, Containers, and Kubernetes. - Familiarity with DevOps practices like CI/CD, Test Automation, and Build Automation using tools like Jenkins, Maven, Chef, Git, and Docker. - Experience with data processing in cloud environments like Azure or AWS. - Strong analytical and problem-solving skills with a result-oriented mindset. - Excellent verbal and written communication and presentation skills. This role is based in Pune and aims to design, develop, and enhance software to provide business, platform, and technology capabilities for customers and colleagues. --- *Note: The additional details of the company were not included in the provided job description.*
