Role : Software Engineer/ Python PySpark
Location: Dearborn, MI(Hybrid)
ONLY W2 NO C2C
Position Description:
***Update as of 5/2/24*** Position Description: **Hybrid Position - Candidate is required to be able to come on-site to Dearborn offices** The Product Engineering and Management (PEM) division within Global Data Insight and Analytics (GDIA) plays a pivotal role in harnessing advanced analytics technologies within the Big Data realm. Our mission is to enhance the quality, design, marketing, and development of our current and forthcoming products through innovative solutions. A key initiative includes developing a state-of-the-art connected vehicle analytics platform, delivering actionable insights to Ford's Vehicle Engineers to boost product quality and value. We are on the lookout for a Data Analytics Software Engineer with a keen focus on Data Transformation. This role demands a candidate adept in crafting complex analytic solutions, utilizing Python and PySpark within an Agile framework. Essential to this position is a solid track record in managing intricate data transformations and a profound understanding of Big Data methodologies and tools. Role Overview: As a Data Analytics Software Engineer, you will be part of a compact, multidisciplinary team that operates in close collaboration. This role involves direct and ongoing engagement with business stakeholders, product managers, and designers, emphasizing rapid and frequent deployment.
Skills Required:
***Update as of 5/2/24*** Advanced Software Engineering Expertise: Profound knowledge and application of Object-Oriented Design principles are essential. Python/PySpark Development Proficiency: Demonstrated capability in developing Python/PySpark applications from conceptualization to deployment. Familiarity with Google Cloud Technologies: A solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer, is required. Big Data & Analytics Acumen: A robust grasp of Big Data and Analytics, including the ability to navigate and address the challenges unique to these fields. Continuous Learning: A strong inclination towards acquiring new skills and leveraging them to address business challenges and seize opportunities.
Skills Preferred:
Demonstrated ability to architect a solution from design to delivery Demonstrated ability to coach and mentor peers. Both in day-to-day interactions and in department-based forums Experience Required:
Overall 6 years of work experience in delivering customer facing products Minimum 2 years of strong development experience in at least one of the following technologies: Python (preferred) or Java on a Public Cloud Platform
Experience Preferred:
Experience developing software for an Automotive/Manufacturing company Experience working in a large multi-national company with many diverse stakeholders and potentially competing objectives. Education Required:
An Bachelor s degree in Computer Science or similar technical discipline
Education Preferred:
Google Cloud Certification
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information :
**Hybrid Position - Candidate is required to be able to come on-site to Ford s Dearborn offices** Full stack back end java Required ***Update as of 5/2/24*** Key Responsibilities: Actively participate in the team's efforts to deliver high-quality software products that align with our customers' requirements and expectations. Apply extensive technical expertise to develop effective Data Transformation solutions, advocating a collaborative problem-solving approach. Manage multiple, competing priorities within a comprehensive software development environment. Educate business stakeholders on the advantages of an iterative development methodology, emphasizing the importance of delivering a Minimum Viable Product (MVP) through strategic prioritization. Enhance your technical knowledge and skills, serving as a mentor to other team members. This position is ideal for a candidate who thrives in a dynamic, collaborative environment and is passionate about driving innovation in data analytics to improve product quality and performance.
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