Platform Software Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Microservices, Full-Stack Integration, Data Ingestion, GCP, Java, Spring Boot, Python, Angular, RESTful APIs, CI/CD, Infrastructure as Code, GitHub, Problem-Solving, Data Governance, Performance Optimization

Industry

Motor Vehicle Manufacturing

Description

Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP. Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions. Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration. Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics. GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs. Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features. Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering. Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies. Design and develop RESTful APIs for seamless integration across platform services. Implement robust unit and functional tests to maintain high standards of test coverage and quality. Established and active employee resource groups Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Minimum 2 years of experience as a Software Engineer Proficient in Java, angular or any technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc. Ability to leverage best in-class data platform technologies to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities. Master's degree or equivalent experience preferred. Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks. Manage code changes with GitHub and troubleshoot and resolve application defects efficiently. Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases. Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues. Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud

Responsibilities

Design and build scalable data pipelines and microservices for real-time and batch processing on GCP. Collaborate with cross-functional teams to implement best practices and optimize data solutions.