Entry level Java cloud developer/entry level data scientist

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Job Overview

SynergisticIT is seeking an enthusiastic and motivated Entry Level Java Cloud Developer/Data Scientist to join our dynamic team. The successful candidate will be involved in developing scalable cloud applications while utilizing data analytics to drive business intelligence. You will work collaboratively with cross-functional teams to integrate data-driven solutions, perform system design, and enhance cloud infrastructure. You will have the opportunity to learn and grow within a supportive environment, contributing to innovative projects that leverage the latest technologies.

Job Responsibilities

• Develop, test, and maintain Java-based applications for cloud environments.
• Collaborate with the data science team to analyze datasets and derive actionable insights.
• Participate in the full software development lifecycle, including requirements gathering, design, implementation, and testing.
• Implement cloud solutions using services such as AWS, Azure, or Google Cloud Platform.
• Assist in the development of scalable and efficient data models and algorithms.
• Conduct code reviews and ensure adherence to best coding practices.
• Support DevOps initiatives, including CI/CD processes and infrastructure automation.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Familiarity with Java programming and understanding of object-oriented programming concepts.
• Basic knowledge of databases and SQL.
• Exposure to cloud service providers such as AWS, Azure, or Google Cloud.
• Understanding of data analytics tools and frameworks.
• Excellent communication skills and ability to work collaboratively in a team setting.
• Willingness to learn new technologies and adapt to a fast-paced environment.

Technologies & Tools

The ideal candidate will work with a variety of technologies and tools such as Java, Spring Framework, RESTful APIs, SQL, various cloud services (AWS, Azure, Google Cloud), and data analytics software like Python, R, or Tableau. Familiarity with version control systems like Git and project management tools will also be advantageous in ensuring efficient workflow and collaboration.

Ideal Candidates

The ideal candidate for this position is someone who possesses a strong desire to learn and grow in the fields of software development and data science. Characteristics such as adaptability, problem-solving ability, and strong analytical thinking are essential. A collaborative spirit and excellent communication skills will contribute positively to the team dynamic. Candidates should be open to feedback and possess a proactive approach in taking on challenges and responsibilities.