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Lear For YouWe work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you.We are your path to a better career, a better future, and a better you.
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Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win.
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We're Lear For You. DATA ENGINEER SOUTHFIELD, MICHIGAN – WORLD HEADQUARTERS – HYBRID As 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 to support business decisions. As a data engineer 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.
The RoleYour work will include, but not be limited to:
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.
Your Qualifications
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.
Experience working within an Agile framework.
Expert level of knowledge of data warehousing and/or relational databases.
High Level of knowledge of operating with Python and preferably PySpark Platforms.
Experience in data mining methods and data tools.
Experience with cloud-based data platforms.
Knowledge of applying data lineage, transformation and quality analysis activities.
Competent to reach into data sources to create new data extraction interfaces .
Proven experience developing data pipelines and ETL processes from disparate data sources.
Bonus If You Have
Experience working with Palantir Foundry
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 in coding or software / systems development.
Experience with PowerBI.
Experience integrating multiple data sources such as financial, HR, manufacturing, commercial, ERP (SAP/QAD)
Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Motor Vehicle Manufacturing
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