
I4.0 - Data Engineer
Are you passionate about harnessing the power of data to drive innovation and efficiency? Do you thrive in a fast-paced, dynamic environment? Lear Corporation is seeking a skilled and driven Data Engineer to join our Industry 4.0 team. In this role, you will play a crucial role in shaping our data strategy and developing cutting-edge solutions to optimize our operations. We are looking for someone with a strong technical background, a knack for problem-solving, and a passion for continuous improvement. If you are ready to take on a challenging and rewarding role in the exciting world of Industry 4.0, we want to hear from you!
- Develop and implement data solutions that drive innovation and efficiency within the organization.
- Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven solutions.
- Design and maintain data systems and databases to support data analytics and reporting.
- Utilize programming languages and tools to extract, transform, and load data from various sources.
- Create and maintain data pipelines to ensure timely and accurate data delivery.
- Perform data cleaning, validation, and quality checks to ensure data integrity.
- Identify and troubleshoot data-related issues and provide timely resolutions.
- Stay up-to-date with industry trends and advancements in data engineering to continuously improve processes and systems.
- Act as a subject matter expert and provide guidance on data-related projects and initiatives.
- Collaborate with data analysts and data scientists to develop predictive models and algorithms.
- Monitor data performance and identify areas for optimization and improvement.
- Develop and maintain documentation of data processes and systems.
- Participate in data governance and security initiatives to ensure compliance and data protection.
- Communicate effectively with stakeholders to gather requirements and present data insights and findings.
- Continuously identify and recommend opportunities for process improvement and automation.
Bachelor's Degree In Computer Science, Data Science, Or A Related Field.
Knowledge And Experience With Big Data Technologies Such As Hadoop, Spark, And Nosql Databases.
Proficiency In Programming Languages Such As Python, Java, And Sql.
Familiarity With Data Visualization Tools Such As Tableau Or Power Bi.
Strong Analytical And Problem-Solving Skills, With The Ability To Manipulate And Analyze Complex Data Sets.
Programming
Data Analysis
statistical analysis
Database Management
Data Modeling
Machine Learning
Cloud
Data warehousing
Data Visualization
Data Mining
ETL (Extract, Transform, Load)
Communication
Customer Service
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
Resilience
According to JobzMall, the average salary range for a I4.0 - Data Engineer in Rabat 10000, Morocco is between 20,000 MAD to 30,000 MAD per month. However, this may vary depending on factors such as experience, skills, and the specific company or industry the engineer is working in.
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Lear Corp. engages in the design, manufacture, and supply of automotive seat, electrical distribution systems, and electronic modules, as well as related sub-systems, components, and software. It operates its business through two segments: Seating and Electrical.

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