Data Integration Engineer

• Design, implement, and manage scalable, secure, and cost-effective cloud
  
  

infrastructure on Google Cloud Platform (GCP) using services such as BigQuery,

Dataflow, Cloud Storage, Cloud Functions, Pub/Sub, and Google Kubernetes Engine

(GKE).

• Implement Infrastructure as Code (IaC) using tools like Terraform or Cloud
  
  

Deployment Manager to automate the provisioning, configuration, and management

of GCP resources.

• Establish and enforce software engineering best practices, including modular code
  
  

design, comprehensive testing, code reviews, version control (Git), and

documentation standards.

• Design and implement CI/CD pipelines for automated testing, deployment, and
  
  

release management of cloud infrastructure and data applications.

• Develop and integrate monitoring, logging, and alerting solutions for cloud services
  
  

and data pipelines to ensure high availability, performance, and proactive issue

detection.

• Collaborate closely with data scientists, data analysts, and product development
  
  

teams to understand data requirements, provide technical guidance, and translate

analytical needs into scalable engineering solutions.

• Lead efforts in troubleshooting and resolving complex technical issues related to
  
  

cloud infrastructure, data pipelines, application performance, and security.

• Contribute to the strategic direction of our cloud architecture and data platform,
  
  

evaluating new technologies and recommending best practices.

• Mentor junior engineers, foster a culture of technical excellence, and promote
  
  

knowledge sharing within the team.

• Ensure all cloud solutions adhere to Ford's security, governance, and data privacy
  
  

standards.