Internship - Software Engineer - Scale up InTouch Help Platform MVP to Goog

<b>Internship - Software Engineering S179</b><br> <br> <b>Scale up InTouch Help Platform MVP to Google Cloud Platform</b><br><br><b> About SLB </b><br><br>We are a global technology company, driving energy innovation for a balanced planet.<br> <br> At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer.<br> <br> Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.<br><br><b> Our Purpose </b><br><br>Together, we create amazing technology that unlocks access to energy for the benefit of all.<br> You can find out more about us on company website<br><br><b> Job title </b><br><br>Internship - Scale up InTouch Help Platform MVP to Google Cloud Platform (5-6 months)<br><br><b> Location </b><br><br>Clamart, France<br><br><b> Description </b><br> <br> The Operation Support team (InTouch) is currently dealing with a flow of ticket (800+/year) requiring advanced expertise on Schlumberger tools such EcoScope. The EcoScope Embedded Software is producing complex error logs requiring times to decrypt as well as set in logging depth for proper correlation with tool failure. An internal project has demonstrated the business value (time saving, analysis robustness) in the automatization of those log analysis thanks to a Minimum Viable Product (MVP). The scope of this internship is to scale up the current MVP running on unitary ticket base and over DataIku (platform for Everyday AI) to an industrial level (full automation) over Google Cloud Platform (GCP) as the automatic data collection is already set on GCP.<br><br><b> Possible Responsibilities and Duties </b><br> <br> The intern will have to propose an architecture and then implement the new analysis data flow over GCP including<br> <ul> <li> Time versus depth, Job information and InTouch ticket reference data ingestion (web-app)</li> <li> Migration of Python process block from DataIku to GCP</li> </ul> <ul> <li> Embedded Software source code reference updated from Bitbucket to Azure DevOps</li> <li> Analysis output representation over dashboards (PowerBI, ...).</li> </ul> <br><br><b> Target Disciplines and Special Skills </b><br> <ul> <li> Penultimate or final year of MSc in Computer Science or similar Engineering degree</li> <li> Python</li> <li> GCP</li> <li> PowerBI (optional)</li> <li> DataIku (optional)</li> <li> Web-app (Angular, ...)</li> </ul> <br><br>SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.