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| Job Location | Morocco (Morocco) |
| Education | ML/ LLM (Law), MA (Arts)Any Graduate |
| Salary | As per Industry Standards |
| Industry | Telecom, IT-Hardware/Networking |
| Functional Area | IT Software : Software Products & Services |
| EmploymentType | Full-time |
Industry 4.0 Data EngineerLocation: Rabat R&D Center TechnopolisDriving the future of automotive. Were Lear For You.Company OverviewLear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of more than 165,000 talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #186 on the Fortune 500. Further information about Lear is available at lear.com, or follow us on Twitter @LearCorporation.Lear has been operating in Morocco since 2003, offering a wide range of products and demonstrating strong expertise in electrical distribution systems, electronics, surface materials, and seating JIT (Just-in-Time). With its 17 cutting-edge production and engineering sites located in Rabat, Tangier, Kenitra, and Meknes, Lear Morocco has become a major and significant player in the industry employing over 19,000 diverse & talented team members.Lear Morocco has been certified as a Top Employer for the third consecutive time in recognition of its unwavering commitment to operational excellence, innovation, and fostering a supportive work environment.Position OverviewAs a Data Engineer, you will be working with colleagues focused on understanding the operational use cases and data scientists using ML models to deliver solutions that support business decisions. You will be responsible for the development of the data pipelines, their security, reliability, and efficiency; supporting Industry 4.0 projects and the rollout of activities that are identified.Key Responsibilities
Keyskills :
data engineering expertise python programming data warehousing knowledgeetl process development machine learning data data mining security data extraction software engineering big data product delivery