Entry level Java developer with Docker /entry level data scientist/

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Job Overview

SynergisticIT is seeking an entry-level Java Developer with experience in Docker, and interest in data science to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and debugging applications while utilizing Docker for containerization. This role will also involve working with data, performing analyses, and contributing to machine learning projects. The candidate will have the opportunity to collaborate with other developers and data scientists to enhance software functionality and support data-driven decision-making.

Job Responsibilities

• Develop and maintain Java applications, ensuring high performance and responsiveness.
• Implement containerization solutions using Docker to streamline application deployment.
• Collaborate with data scientists to gather and process data for analysis.
• Assist in the design and development of machine learning models and algorithms.
• Participate in code reviews and maintain high coding standards.
• Debug and resolve technical issues as they arise, enhancing software reliability.
• Document software development processes, methodologies, and code modifications.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Basic knowledge of Java programming and familiarity with object-oriented programming concepts.
• Experience with Docker and its components for containerization technologies.
• Understanding of data analysis and familiarity with data science concepts.
• Strong problem-solving skills and ability to work collaboratively in a team setting.
• Effective communication skills to articulate ideas and solutions clearly.

Technologies & Tools

The role will involve working with a variety of technologies and tools, including Java programming language, Docker for container orchestration, Git for version control, and various data analysis and machine learning libraries, such as TensorFlow or Scikit-learn. Familiarity with database management systems (SQL/NoSQL) is also beneficial.

Ideal Candidates

The ideal candidate for this position will possess a strong passion for software development and data science, coupled with a proactive attitude towards learning. They should be detail-oriented, able to manage multiple tasks efficiently, and ready to adapt to new technologies and frameworks. A collaborative spirit and the ability to communicate effectively with team members will further strengthen their fit within our innovative environment.