Data Engineer
Lear Corporation
- Rabat
- CDI
- Temps-plein
- As a member of the EU&AF AME team, manage execution of data focused projects using Lear's data analytics and application platform.
- Participate in multiple projects from conception, route cause analytics and solution deployment
- Supporting the creation of a user toolset to be deployed as a regional standard across Lear for analyzing and presenting data in a meaningful manor to senior management.
- Generating large databases from various sources of both structured and unstructured data.
- Using a range of programming languages to transform big data into datasets.
- Transforming technical data into a manageable understanding to give recommendations and conclusions to stakeholders.
- Understanding the phases of program and product delivery and being able to contribute expert analysis across the program lifecycle.
- Working with technologies both new and old to integrate separate data feeds to transform and map into new scalable datasets.
- Ensuring documentation and procedures are maintained and improved in accordance with internal practices (ITPM) and Sarbanes Oxley requirements.
- Ensuring system optimization for all deployed resources.
- Expert level of knowledge of data warehousing and modelling practices.Proven experience developing data pipelines and ETL processes from disparate data sources.
- High Level of knowledge of relational databases including SQL DML and DDL scripting and optimization.
- Experience developing data operations using Python or Groovy.
- Knowledge of data lineage, data mining, and data quality methodology.
- Experience with dashboard and data visualization development.
- Experience with Financial, Human Resource or Operational/ERP system data
- Cloud-based data platform experience (Palantir Foundry, Informatica PowerCenter, Alteryx, Boomi or similar cloud platforms).
- Application UI development experience.
- Experience with Microsoft PowerBI, Excel, PowerPoint, and SQL Serer.
- Experience with SAP SuccessFactors API, SAP Cloud Platform Integration (CPI),
- Bachelor's degree qualification in Computer Science, Electronics or Systems / Software Engineering.
- Experience working as part of an integrated data team.
- Strong business analysis/requirements analysis skills.
- Business Analysis.
- Working within an Agile framework.
- 3-5 years' experience of working within a multinational organization with international, cross functional teams.
- 2-5 years' experience of working within data engineering or optimization to support a high volume manufacturing operation.
- Master's degree in Computer Science, Systems, or comparable Electronic Discipline.
- Experience working with data for ML purposes.
- Attention to detail - ability to identify variations to defined equipment standards from specification through to delivery.
- Highly self-motivated and target focused, being flexible in approach but without compromising on the long-term benefits.
- Highly organized and analytical.
- Proactive and strategic approach.
- Lean thinker - understands the benefits of standardization and can explain clearly when challenged.
- A proven methodical approach to problem solving.
- Able to work with tight deadlines to meet business requirements.
- Competitive Salary,
- Competitive social perks including:
- Medical insurance
- Social security benefits,
- Transportation allowance,
- Canteen in site
- Paid Vacations
- Flexible working hours,
- Access to Learning and development opportunities
- Opportunities to give back to the community
- Meaningful work that makes a difference in the world