entry level Java developer with aws/jenkins/Entry level data scientist with aws/azure/

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Overview

As an entry-level Java Developer/Data Scientist at SynergisticIT, you will be immersed in a dynamic environment that emphasizes collaboration, innovation, and continuous learning. Your primary responsibility will be to develop, test, and maintain Java applications and to support data science initiatives using AWS and Azure platforms. You will work closely with senior developers and data scientists to deliver high-quality software solutions and analyze data to extract meaningful insights that drive business decisions.

Job Responsibilities

• Collaborate with team members to design and implement Java applications that fulfill business needs.
• Assist in the development of data models and algorithms for data analysis and reporting.
• Utilize AWS and Azure services to deploy applications and conduct data processing tasks.
• Participate in code reviews, debugging, and troubleshooting of applications.
• Document software design and data science processes to maintain consistency and support future development.
• Stay up-to-date with emerging technologies and recommend improvements to existing systems.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Familiarity with Java programming language and object-oriented programming principles.
• Basic understanding of data analysis and statistical methodologies.
• Experience with AWS or Azure services is highly preferred.
• Knowledge of version control systems, preferably Git.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.

Technologies & Tools

The ideal candidate will work with several technologies and tools, including but not limited to Java, AWS, Azure, Jenkins, version control systems (Git), and data analytics frameworks. Familiarity with integrated development environments (IDEs) such as IntelliJ IDEA or Eclipse will be beneficial. Knowledge of SQL databases and data manipulation tools will also be advantageous in contributing to both software and data science projects effectively.

Ideal Candidates

The ideal candidate for this position is highly motivated, eager to learn, and possesses a strong curiosity about technology and data. They demonstrate a proactive approach toward problem-solving and exhibit excellent teamwork capabilities. A willingness to adapt and grow within a fast-paced environment is crucial, as well as an ability to communicate effectively with diverse teams and stakeholders. Candidates should be committed to delivering high-quality work and continuously improving their technical skills and knowledge.