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.

RESPONSIBILITIES

• 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 After-sales
  • 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

REQUIREMENTS

• Bachelors degree in Information Technology, Computer Science, Applied Math, Statistics, Data Analytics, Data Science or a related field
• 2+ years Python programming experience
• Solid understanding of statistical modeling, predictive analysis, and data mining
• Hands-on experience with Python and relevant packages
• Demonstrated IT, Systems, SQL Database background
• Strong analytical skills
• High self-organizing skills
• Strong proficiency with Microsoft Office
• Excellent interpersonal and communication skills
• Ability to understand and communicate complex quantitative analysis in a clear, precise, and actionable manner

PREFERRED REQUIREMENTS

• Masters degree in related field
• Automotive technical knowledge/experience
• Working knowledge of automotive warranty systems and processes
• Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.

WORK ENVIRONMENT

• Hybrid Schedule - Fridays work from home