AWS Cloud Intern (Developer/DevOps/Data Engineer/ML Engineer Tracks)

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Written by AI from the job title and company, not by OneData Software Solutions, so some details may not match this job. The employer's own page has the real description.

Overview

As an AWS Cloud Intern at OneData Software Solutions, the candidate will have the opportunity to work alongside industry experts in various tracks including Development, DevOps, Data Engineering, and Machine Learning Engineering. This internship offers a unique chance to gain hands-on experience in designing, implementing, and managing cloud-based solutions on Amazon Web Services (AWS). The intern will participate in collaborative projects that enhance their technical skills while contributing to real-world applications aimed at solving complex business challenges.

Job Responsibilities

• Assist in the design and deployment of cloud-based infrastructure using AWS services.
• Participate in the development of software applications, utilizing programming languages relevant to the track.
• Support continuous integration and continuous delivery (CI/CD) pipelines in cloud environments.
• Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and refine solutions.
• Contribute to data analysis and machine learning model development, if pursuing the ML Engineer track.
• Document technical processes and procedures to ensure knowledge sharing within the team.

Qualifications

• Pursuing a degree in Computer Science, Information Technology, or a related field.
• Basic knowledge of AWS services (e.g., EC2, S3, Lambda, RDS) and cloud computing principles.
• Familiarity with programming languages such as Python, Java, or JavaScript depending on the track.
• Understanding of DevOps practices and tools like Git, Jenkins, or Docker is advantageous.
• Data Engineering candidates should have exposure to SQL and data visualization tools.
• Machine Learning tracks require foundational knowledge of ML algorithms and frameworks (e.g., TensorFlow, scikit-learn).

Technologies & Tools

The intern will utilize a variety of technologies and tools throughout their internship, including but not limited to AWS services (such as EC2, S3, Lambda, and IAM), programming environments (such as Visual Studio Code and Jupyter Notebooks), data storage solutions (like RDS and DynamoDB), as well as machine learning frameworks (including TensorFlow and AWS SageMaker) depending on the specific track pursued. Familiarity with collaboration tools like Slack and project management software (such as Jira) will also be expected.

Ideal Candidates

The ideal candidates for this internship position will possess a strong willingness to learn and adapt to new technologies in a fast-paced environment. They should display excellent problem-solving skills, a collaborative spirit, and a passion for innovative cloud solutions. Furthermore, candidates with effective communication skills and a proactive approach to challenges will thrive in this dynamic team setting. Enthusiasm for hands-on work and a commitment to contributing positively to team projects are essential qualities we seek.