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R&D · Tunis
DevOps Intern
Join our team and surround yourself with highly motivated and skilled coworkers to build cutting edge solutions for prestigeous clients around the globe
Topic 1: Interactive Dashboard for Performance Monitoring
Description: This topic focuses on creating an interactive performance monitoring dashboard on AWS, with an emphasis on selecting tools, integrating systems, and visualizing data effectively. The process begins by examining criteria for choosing monitoring tools, such as usability, integration options, scalability, and cost-effectiveness. Participants will gain hands-on experience integrating these tools into a cohesive dashboard using APIs and SDKs, developing custom dashboards that aggregate data from various sources, and designing user-friendly interfaces that incorporate stakeholder feedback. Additionally, the topic covers establishing performance metrics and configuring alerts with AWS CloudWatch to proactively monitor system health.
Key Attributes / Main Competencies: Key skills developed include evaluating and comparing monitoring tools like AWS CloudWatch, Datadog, and Grafana, effectively integrating these tools, and building impactful visualizations using AWS QuickSight. Cost management strategies and validation techniques are also emphasized to create solutions that are accurate, budget-friendly, and user-centered.
Learning Outcomes: Participants will be able to integrate appropriate monitoring tools, design efficient dashboards, and manage costs to deliver a robust and reliable performance monitoring solution.
Topic 2: Enhancing Desktop Application Performance by Leveraging AWS Lambda for Task Offloading
Description:This topic explores how to optimize the performance of a desktop application by offloading resource-intensive tasks to AWS Lambda functions. By identifying high-latency processes within the desktop application, we’ll outline methods for delegating these tasks to the cloud, where they can be processed efficiently in a serverless environment. AWS Lambda allows for scalable, on-demand execution of these jobs. The focus will include designing the workflow for task offloading, setting up secure data transfer between the application and AWS, and ensuring that Lambda functions are optimally configured to handle these jobs.
Key Attributes / Main Competencies:Key skills developed include understanding AWS Lambda’s serverless architecture, creating and deploying Lambda functions, integrating AWS services with desktop applications, and implementing efficient data transfer methods. Additionally, competencies in optimizing resource usage and managing costs with AWS will be covered.
Learning Outcomes:Upon completion, you’ll be able to offload heavy processes to AWS Lambda effectively, reducing local processing time and boosting application performance.
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About MASS Analytics
We specialize in Marketing Mix Modeling (MMM) and Media Effectiveness Measurement. We offer our clients a comprehensive MMM software suite backed up by a wide range of managed services solutions to help identify sales drivers, measure MROI and optimize Marketing budgets.
R&D · Tunis
DevOps Intern
Join our team and surround yourself with highly motivated and skilled coworkers to build cutting edge solutions for prestigeous clients around the globe
Privacy policy for recruitment using Teamtailor
The service for handling recruitments and simplifying the hiring process (the "Service") is powered by Teamtailor on behalf of MASS Analytics ("Controller" “we” “us” etc.). It is important that the persons using the Service ("Users”) feel safe with, and are informed about, how we handle User's personal data in the recruitment process. We strive to maintain the highest possible standard regarding the protection of personal data. We process, manage, use, and protect User's Personal Data in accordance with this Privacy Policy ("Privacy Policy").
1. General
We are the controller in accordance with current privacy legislations. The Users’ personal data is processed with the purpose of managing and facilitating recruitment of employees to our business.
2. Collection of personal data
We are responsible for the processing of the personal data that the Users contributes to the Service, or for the personal data that we in other ways collects with regards to the Service.
When and how we collect personal data
make an application through the Service or otherwise, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn; and use the Service to connect with our staff, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn. provides identifiable data in the chat (provided through the website that uses the Service) and such data is of relevance to the application procedure;
We collect data from third parties, such as Facebook, Linkedin and through other public sources. This is referred to as “Sourcing” and be manually performed by our employees or automatically in the Service.
In some cases, existing employees can make recommendations about potential applicants. Such employees will add personal data about such potential applicants. In the cases where this is made, the potential applicant is considered a User in the context of this Privacy Policy and will be informed about the processing.
The types of personal data collected and processed
The categories of personal data that can be collected through the Service can be used to identify natural persons from names, e-mails, pictures and videos, information from Facebook and LinkedIn-accounts, answers to questions asked through the recruiting, titles, education and other information that the User or others have provided through the Service. Only data that is relevant for the recruitment process is collected and processed.
Purpose and lawfulness of processing
The purpose of the collecting and processing of personal data is to manage recruiting. The lawfulness of the processing of personal data is our legitimate interest to simplify and facilitate recruitment.
Personal data that is processed with the purpose of aggregated analysis or market research is always made unidentifiable. Such personal data cannot be used to identify a certain User. Thus, such data is not considered personal data.
The consent of the data subject
The User consents to the processing of its personal data with the purpose of Controller’s handling recruiting. The User consents that personal data is collected through the Service, when Users;
make an application through the Service, adding personal data about themselves either personally or by using a third-party source as Facebook or LinkedIn, and that Controller may use external sourcing-tools to add additional information; and when they use the Service to connect to Controller’s recruitment department, adding personal data about themselves either personally or by using a third-party source such as Facebook or LinkedIn.
The User also consents to the Controller collecting publically available information about the User and compiles them for use in recruitment purposes.
The User consents to the personal data being collected in accordance with the above a) and b) will be processed according to the below sections Storage and transfer and How long the personal data will be processed.
The User has the right to withdraw his or her consent at any time, by contacting Controller using the contact details listed under 9. Using this right may however, mean that the User can not apply for a specific job or otherwise use the Service.
Storage and transfers
The personal data collected through the Service is stored and processed inside the EU/EEA, such third country that is considered by the Eur