Description
The Pro360 team is tasked with creating a seamless, data-driven ecosystem for Ford Pro. As a Data Engineer, you will be responsible for the end-to-end data lifecycle,from ingestion and transformation to visualization and executive presentation.
You will work within a modern tech stack centered on the Google Cloud Platform, utilizing your expertise in SQL and Python to build scalable pipelines. Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level.
Key responsibilities include:
- Design, develop, and maintain complex data pipelines using Astronomer and Airflow.
- Deploy and manage services within Google Cloud Platform, including BigQuery, Dataflow, and Cloud Run.
- Use Terraform for environment provisioning and Tekton for CI/CD pipeline automation.
- Write advanced SQL queries and utilize Python to clean, transform, and analyze large-scale datasets.
- Build intuitive dashboards in Looker Studio to track KPIs and provide visibility to stakeholders.
- Communicate technical findings to non-technical audiences and collaborate with upper management to align data strategy with business goals.
In addition, you will be working with a hybrid team, with a mix of remote and on-site work. The position requires relocation if you are not within commutable distance, and you are expected to be onsite 4 days per week.