Software Engineer – Google Cloud Platform

Ford • Allen Park, MI

16h • Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
What you'll be able to do:
Software Engineer – Google Cloud Platform - positions offered by Ford Motor Company (Allen Park, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite. Design data pipelines by creating and maintaining scalable data pipelines using Google Cloud Platform (GCP) services to support supply chain analytics and reporting, ensuring pipelines are modular and reusable to support Agile development. Collaborate with cross-functional teams by participating in daily stand-ups, sprint planning, and retrospectives, working closely with the supply chain business to understand data requirements and deliver solutions using the latest cloud computing technologies. Ensure data quality and integrity by implementing automated data quality checks and validation processes within the pipelines, maintaining high standards of data quality, integrity, and security across all data sources and systems on GCP. Optimize data storage solutions by implementing and optimizing data storage solutions, ensuring storage solutions are cost-effective and performant. Monitor and troubleshoot by regularly monitoring and troubleshooting data pipeline performance using GCP monitoring tools, ensuring timely and accurate data delivery by addressing issues promptly. Stay up-to-date with the latest industry trends and best practices in data engineering and supply chain management, particularly within the GCP ecosystem, and sharing knowledge with the team during Agile ceremonies. Develop documentation by creating and documenting data processes, architecture, and workflows in Miro board, ensuring documentation is up-to-date and accessible to the team. Utilize big data technologies by leveraging big data technologies, integrating these technologies into the CI/CD pipeline.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science or a related field and 10 years of progressive, post-baccalaureate experience in the job offered or a related occupation.
• 5 years of experience with each of the following skills is required: 1. Programming in Python or Java for data engineering tasks, participating in code reviews to ensure code quality and adherence to best practices. 2. Optimizing performance and deploying applications. 3. Executing unit tests using Mockito and JUnit. 4. Experience in CI/CD methodology.
• 3 years of experience with each of the following skills is required: 1. Utilizing Agile methodologies including Scrum and Kanban to manage software development projects. 2. Participating in stand-ups and sprints to foster collaboration and timely delivery of high-quality software.
• 2 years of experience with each of the following skills is required: 1. Developing scalable Java applications using Apache Beam, Java APIs, and Exception Handling. 2. Automating workflows with GCP Cloud Functions and Cloud Scheduler. 3. Implementing data processing pipelines with Pandas and NumPy. 4. Utilizing Git for version control to manage code repositories, including branching, merging, and pull requests.

Responsibilities

• Design data pipelines by creating and maintaining scalable data pipelines using Google Cloud Platform (GCP) services to support supply chain analytics and reporting, ensuring pipelines are modular and reusable to support Agile development.
• Collaborate with cross-functional teams by participating in daily stand-ups, sprint planning, and retrospectives, working closely with the supply chain business to understand data requirements and deliver solutions using the latest cloud computing technologies.
• Ensure data quality and integrity by implementing automated data quality checks and validation processes within the pipelines, maintaining high standards of data quality, integrity, and security across all data sources and systems on GCP.
• Optimize data storage solutions by implementing and optimizing data storage solutions, ensuring storage solutions are cost-effective and performant.
• Monitor and troubleshoot by regularly monitoring and troubleshooting data pipeline performance using GCP monitoring tools, ensuring timely and accurate data delivery by addressing issues promptly.
• Stay up-to-date with the latest industry trends and best practices in data engineering and supply chain management, particularly within the GCP ecosystem, and sharing knowledge with the team during Agile ceremonies.
• Develop documentation by creating and documenting data processes, architecture, and workflows in Miro board, ensuring documentation is up-to-date and accessible to the team.
• Utilize big data technologies by leveraging big data technologies, integrating these technologies into the CI/CD pipeline.

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees