entry level data analyst/Java Kubernates developer
Job Description
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Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.
Job Overview
SynergisticIT is seeking a motivated and detail-oriented Entry-Level Data Analyst/Java Kubernetes Developer to join our dynamic team. The successful candidate will be responsible for analyzing large data sets and helping to develop and maintain applications using Java and Kubernetes. This position provides an excellent opportunity for career growth, equipping the candidate with valuable hands-on experience in data analytics and software development in a cloud environment.
Job Responsibilities
- Assist in the collection, cleaning, and analysis of data sets to extract meaningful insights.
- Develop and maintain Java applications and services that operate in a Kubernetes environment.
- Support the design and implementation of data models and databases.
- Collaborate with cross-functional teams to provide data-driven solutions to business challenges.
- Participate in agile project management processes and contribute to sprint planning sessions.
- Document processes, methodologies, and best practices while ensuring compliance with data governance policies.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Basic knowledge of data analysis techniques and tools.
- Familiarity with Java programming and understanding of object-oriented programming concepts.
- Exposure to cloud computing and container orchestration tools like Kubernetes is a plus.
- Strong problem-solving skills and ability to work collaboratively in a team.
- Excellent verbal and written communication skills.
- Prior internship or project experience in data analysis or software development is advantageous.
Technologies & Tools
The Entry-Level Data Analyst/Java Kubernetes Developer will primarily use technologies including Java, Kubernetes, Docker, SQL, and various data visualization tools. Familiarity with cloud platforms such as AWS or Azure may also be beneficial. The position will involve the use of modern development tools and methodologies to ensure efficient and effective delivery of services.
Ideal Candidates
Ideal candidates possess a strong analytical mind and a passion for technology. They should be eager to learn and adaptable to changing environments. A proactive attitude towards problem-solving and the ability to communicate technical concepts clearly to non-technical stakeholders are essential. Candidates should thrive in a collaborative team atmosphere and demonstrate a commitment to delivering high-quality work on time.
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