Entry level Java backend programmer with reputed company/junior data analyst

About the Role

As an entry-level Java backend programmer with reputed company/junior data analyst, you will be responsible for developing and maintaining the backend infrastructure of our software applications using Java and Spring Boot. You will work closely with cross-functional teams to design, implement, and deploy scalable and efficient microservices architecture. Additionally, you will assist in analyzing data to inform business decisions and provide insights to stakeholders.

Key Responsibilities

• Design, develop, and deploy Java-based backend applications using Spring Boot and microservices architecture.
• Collaborate with data analysts to analyze data and provide insights to stakeholders.
• Develop and maintain REST APIs using Java and Spring Boot.
• Work with Jenkins to automate the build, test, and deployment process.
• Assist in troubleshooting and resolving technical issues related to backend infrastructure.
• Stay up-to-date with industry trends and emerging technologies in software development and data science.
• Participate in code reviews and contribute to the improvement of the codebase.

Skills & Qualifications

• Strong understanding of Java programming language and its ecosystem.
• Experience with Spring Boot and microservices architecture.
• Knowledge of REST APIs and their implementation using Java and Spring Boot.
• Understanding of Jenkins and its role in automation.
• Basic knowledge of data science and machine learning concepts.
• Ability to work with Python and its libraries for data analysis.
• Bachelor's degree in Computer Science or related field.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to learn and adapt quickly to new technologies and tools.

What You'll Learn

In this role, you will gain hands-on experience in developing and maintaining large-scale software applications using Java and Spring Boot. You will learn about microservices architecture, REST APIs, and data analysis using Python and its libraries. Additionally, you will develop strong analytical and problem-solving skills, which will be valuable in your future career as a software developer or data analyst.

Resume Tip

When applying for this role, make sure to include a separate section in your resume highlighting your personal projects or contributions to open-source projects. This will demonstrate your ability to apply theoretical knowledge to real-world problems and showcase your skills to potential employers.