Ford - Bismarck, ND
posted 2 months ago
At Ford Motor Company, we are dedicated to shaping the future of mobility and enhancing the customer experience through advanced technology. As a Cloud Data Engineer, you will play a pivotal role in the Materials Management Platform (MMP), a multi-year transformation initiative aimed at revolutionizing Ford's Materials Requirement Planning and Inventory Management capabilities. This position involves designing and deploying a Data Centric Architecture in Google Cloud Platform (GCP) that integrates data from various applications, both modern and legacy, across Product Development, Manufacturing, Finance, Purchasing, N-Tier Supply Chain, and Supplier Collaboration. Your responsibilities will include designing and implementing data-centric solutions using a variety of GCP tools such as Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data Flow, and more. You will build ETL pipelines to ingest data from diverse sources, develop data processing pipelines using programming languages like Java and Python, and create and maintain data models for efficient storage and retrieval of large datasets. Additionally, you will deploy and manage both SQL and NoSQL databases, collaborate with cross-functional teams to understand data requirements, and implement security measures to ensure data integrity and confidentiality. As part of your role, you will optimize data workflows for performance and cost-effectiveness, work with data scientists to integrate machine learning models, troubleshoot data processing issues, and stay updated on industry best practices. You will also be responsible for documenting data engineering processes, utilizing GCP monitoring tools, and providing mentorship to junior team members. This position requires a strong background in GCP data projects, preferably with automotive experience, and a commitment to continuous improvement in data engineering processes.