Description: Title: VW Data Engineer Product Support is the primary quality liaison group between the factories and Volkswagen of America. The primary role of the Data Engineer position is to design, construct, test and maintain data sources for deeper analysis. Additionally, the Data Engineer will be responsible for monitoring/improving work processes, and developing and maintaining Python-based reporting functions. Years of Experience: 2+ years Python programming experience Description: Data Engineering (50%) •Obtain and manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets •Identify, design, and implement internal process improvements: data discovery, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc •Assemble and maintain large, complex data sets that meet functional / non-functional business requirements. •Enhance the data infrastructure framework by evaluating new and existing technologies and techniques to create efficient processes around data extraction, aggregation, and analytics •Establish and maintain standards and guidelines for the design, development, tuning, deployment, and maintenance of information and advanced data analytics •Work with IT&S to assist with data-related technical issues and ensure data architecture will support the business requirements. •Actively participate in knowledge sharing sessions, code and design reviews etc. Reporting Functions (30%) •Develop Python-based tools and reports to improve data understanding and effiencies for multiple groups within Aftersales •Develop method(s) for connecting data sources for deeper data understanding, analysis and reporting Collaboration and Support (20%) •Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales •Collaborate with other teams within VW/Audi Aftersales to create synergies within groups to improve efficiencies •Support data requests from management, and the creation of special reports within Aftersales Required •Solid understanding of statistical modeling, predictive analysis, and data mining •Hands-on experience with Python and relevant packages •Demonstrated IT/Systems/Database background •Strong analytical skills •High self-organizing skills •Strong proficiency with the Microsoft Office Suite •Excellent interpersonal and communication skills •Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable manner Desired •Automotive technical knowledge/experience •Working knowledge of automotive warranty systems and processes •Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc. Education Required •Bachelor degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related field Desired: Master's degree in related field preferred Qualification ssessment Must Have VWGACompany Default Category Background Verification Yes Drug Screen Yes Role Classification HYBRID Hours per Day 8 Hours per Week 40 Total Hours 1,656.00 ssignment Billing Classification (Prof. Work Week) Fixed Weekly Worker- Max 40 Hours Per Week - Not Eligible for Overtime

Job Title: Data Engineer / Business AnalystType of Role: Long-term, ongoing contractLocation: Auburn Hills, MI (hybrid)Pay Rate: $40.00/hour-$42.00/hourProduct Support is the primary quality liaison group between the factories and company. The primary role of the Data Engineer position is to design, construct, test and maintain data sources for deeper analysis. Additionally, the Data Engineer will be responsible for monitoring/improving work processes, and developing and maintaining Python-based reporting functions.Years of Experience:2+ years Python programming experienceDescription:Data Engineering (50%) Obtain and manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets Identify, design, and implement internal process improvements: data discovery, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc Assemble and maintain large, complex data sets that meet functional / non-functional business requirements. Enhance the data infrastructure framework by evaluating new and existing technologies and techniques to create efficient processes around data extraction, aggregation, and analytics Establish and maintain standards and guidelines for the design, development, tuning, deployment, and maintenance of information and advanced data analytics Work with IT&S to assist with data-related technical issues and ensure data architecture will support the business requirements. Actively participate in knowledge sharing sessions, code and design reviews etc.Reporting Functions (30%) Develop Python-based tools and reports to improve data understanding and efficiencies for multiple groups within Aftersales Develop method(s) for connecting data sources for deeper data understanding, analysis and reportingCollaboration and Support (20%) Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales Collaborate with other teams within company Aftersales to create synergies within groups to improve efficiencies Support data requests from management, and the creation of special reports within AftersalesRequired Solid understanding of statistical modeling, predictive analysis, and data mining Hands-on experience with Python and relevant packages Demonstrated IT/Systems/Database background Strong analytical skills High self-organizing skills Strong proficiency with the Microsoft Office Suite Excellent interpersonal and communication skills Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable mannerDesired Automotive technical knowledge/experience Working knowledge of automotive warranty systems and processes Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.Education Required Bachelor degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related fieldby Jobble

Job Title: Data Engineer / Business AnalystType of Role: Long-term, ongoing contractLocation: Auburn Hills, MI (hybrid)Pay Rate: $40.00/hour-$42.00/hour Product Support is the primary quality liaison group between the factories and company. The primary role of the Data Engineer position is to design, construct, test and maintain data sources for deeper analysis. Additionally, the Data Engineer will be responsible for monitoring/improving work processes, and developing and maintaining Python-based reporting functions. Years of Experience:2+ years Python programming experience Description:Data Engineering (50%)• Obtain and manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets• Identify, design, and implement internal process improvements: data discovery, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc• Assemble and maintain large, complex data sets that meet functional / non-functional business requirements.• Enhance the data infrastructure framework by evaluating new and existing technologies and techniques to create efficient processes around data extraction, aggregation, and analytics• Establish and maintain standards and guidelines for the design, development, tuning, deployment, and maintenance of information and advanced data analytics• Work with IT&S to assist with data-related technical issues and ensure data architecture will support the business requirements.• Actively participate in knowledge sharing sessions, code and design reviews etc. Reporting Functions (30%)• Develop Python-based tools and reports to improve data understanding and efficiencies for multiple groups within Aftersales• Develop method(s) for connecting data sources for deeper data understanding, analysis and reporting Collaboration and Support (20%)• Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales• Collaborate with other teams within company Aftersales to create synergies within groups to improve efficiencies• Support data requests from management, and the creation of special reports within Aftersales Required• Solid understanding of statistical modeling, predictive analysis, and data mining• Hands-on experience with Python and relevant packages• Demonstrated IT/Systems/Database background• Strong analytical skills• High self-organizing skills• Strong proficiency with the Microsoft Office Suite• Excellent interpersonal and communication skills• Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable manner Desired• Automotive technical knowledge/experience• Working knowledge of automotive warranty systems and processes• Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc. Education Required• Bachelor degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related field

<h3>Job Description</h3><div>Job Description<div>Job Description: Product Support is the primary quality liaison group between the factories and company. The primary role of the Data Engineer position is to design, construct, test, and maintain data sources for deeper analysis. Additionally, the Data Engineer will be responsible for monitoring/improving work processes and developing and maintaining Python-based reporting functions. Data Engineering (50%)<ul><li>Obtain and manage a sufficient set of usable data from multiple sources, including manipulating noisy and irregular data to produce clean datasets</li><li>Identify, design, and implement internal process improvements: data discovery, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability</li><li>Assemble and maintain large, complex data sets that meet functional / non-functional business requirements.</li><li>Enhance the data infrastructure framework by evaluating new and existing technologies and techniques to create efficient processes around data extraction, aggregation, and analytics</li><li>Establish and maintain standards and guidelines for the design, development, tuning, deployment, and maintenance of information and advanced data analytics</li><li>Work with IT&S to assist with data-related technical issues and ensure data architecture will support the business requirements.</li><li>Actively participate in knowledge sharing sessions, code and design reviews etc.</li></ul>Reporting Functions (30%)<ul><li>Develop Python-based tools and reports to improve data understanding and effiencies for multiple groups within Aftersales</li><li>Develop method(s) for connecting data sources for deeper data understanding, analysis and reporting</li></ul>Collaboration and Support (20%)<ul><li>Work closely with Data Scientists and Analysts to understand business needs and grow data understanding and analytics within Aftersales</li><li>Collaborate with other teams within VW/Audi Aftersales to create synergies within groups to improve efficiencies</li><li>Support data requests from management, and the creation of special reports within Aftersales.</li></ul>Years of Experience:<ul><li>2+ years Python programming experience</li></ul>Education:<ul><li>Required: Bachelor's degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science, or a related field</li><li>Desired: Master's degree in related field preferred</li></ul>Required Skills:<ul><li>Solid understanding of statistical modeling, predictive analysis, and data mining</li><li>Hands-on experience with Python and relevant packages</li><li>Demonstrated IT/Systems/Database background.</li><li>Strong analytical skills</li><li>High self-organizing skills</li><li>Strong proficiency with the Microsoft Office Suite</li><li>Excellent interpersonal and communication skills</li><li>Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable manner.</li></ul>Desired Skills:<ul><li>Automotive technical knowledge/experience</li><li>Working knowledge of automotive warranty systems and processes</li><li>Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.</li></ul></div>Company Description<div>Abacus Service Corporation is a nation-wide staffing firm based out of Farmington Hills, Michigan that services Fortune 500 companies in varying industries across the US. This is a full-time position offering excellent benefits such as medical, dental, vision, long and short term disability, life insurance, FSA and 401k options.</div></div><h3>Company Description</h3><div>Abacus Service Corporation is a nation-wide staffing firm based out of Farmington Hills, Michigan that services Fortune 500 companies in varying industries across the US. This is a full-time position offering excellent benefits such as medical, dental, vision, long and short term disability, life insurance, FSA and 401k options.</div>

Data Engineer Jobs in Auburn Hills, MI

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Data Engineer Jobs in Auburn Hills, MI

Vw Data EngineerApril 24, 2024

Vw Data EngineerApril 22, 2024

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Data EngineerApril 21, 2024

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Quick filters

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Vw Data Engineer
April 24, 2024

Vw Data Engineer
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