Data Engineer (Remote)

at  CAPGEMINI ENGINEERING

Role: Operational Data Systems Engineer
Location: REMOTE from anywhere in the Mexican territory.
Practice: Software Engineering
Industry - Sector: Telecommunications
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

This position requires fulfilling a combination of data processing and software engineering tasks. The team is engaged in a variety of tasks to fulfill its mission of providing world-class private and public cloud environments which requires orchestration of a large number of department resources and customer organizations. Improving the success of the APS-PaaS team requires improving process efficiency through comprehensive feedback measurements which result in both tactical and strategic changes for the department. This work enables business success within the company’s network of data center facilities.

• Lead the APS-PaaS team in the design and implementation of automated metrics generation environment capable of producing consumable content ranging from near-real-time dashboards to trending-over-time reports. The automation environment is envisioned to be a combination of a proprietary collection of applications, Jira, Smartsheet (being deprecated), Remedy and Excel. Easily accessible and understandable products such as status dashboards, data integrations, workflows, delivery metrics, customer satisfaction reporting and efficacy reports for both near-real-time and trending-over-time intervals are the end goal.
• Experience in establishing and operating automated report dissemination and notification systems
• Assist the APS-PaaS team in the collection, processing and distribution of the data, information and knowledge necessary to coordinate service deployment into the company’s private and public cloud infrastructure.
• Troubleshoot and resolve issues related to process and technology.
• Establishment of an effective feedback plan for the tools used by the team.
• Ability to visualize and automate the execution of complex business processes.
• Perform data collection, analysis, and validation.
• Respond to data inquiries from various groups within the organization, working towards a goal of providing a robust self-service reporting capability.