Ford Motor Company Jobs

We are seeking a skilled and passionate Data Engineer to join our growing Digital Analytics & Experimentation team. In this role, you will play a crucial part in designing, implementing, and maintaining our data infrastructure on Google Cloud Platform (GCP). You will work closely with analysts and stakeholders to ensure a robust and scalable data pipeline that fuels our Qlik dashboards, enterprise reporting and other data-driven initiatives.

• Design, develop, and maintain data transformation pipelines on GCP, handling complex business rules and high-volume data from various sources, including Adobe Analytics.

• Build and maintain batch and real-time data pipelines using GCP services like Dataflow, Cloud Functions, and Pub/Sub to support our digital analytics needs.

• Develop and optimize ETL processes to ingest, transform, and load data from multiple sources into our data warehouse, ensuring data quality and consistency.

• Build and maintain data models within BigQuery, optimizing for performance and scalability to support complex analytical queries.

• Collaborate with the analytics team to translate business requirements into actionable data models and pipelines that power reports, dashboards, and other analytical outputs.

• Create and maintain comprehensive documentation for all data pipelines, ETL processes, and data models.

• Implement and maintain data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability.

• Contribute to the development and maintenance of our Qlik dashboards, ensuring they are powered by accurate and timely data.

• Stay up-to-date with the latest technologies and best practices in data engineering, particularly within the GCP ecosystem.

• 5+ years of experience in data engineering, with a proven track record of building and maintaining data pipelines and data warehouses.

• Extensive experience with GCP services , including BigQuery, Dataflow, Cloud Storage, Cloud Functions, Pub/Sub, and Data Fusion.

• Strong experience with Adobe Analytics data structures and APIs, including data extraction and processing.

• Advanced SQL skills and experience with data modeling techniques, specifically for analytical purposes.

• Proficiency in Python or Java for data processing and automation tasks.

• Experience with data visualization tools like Qlik is a plus.

• Strong understanding of data warehousing concepts and best practices.

• Excellent problem-solving, analytical, and communication skills.

• Ability to work independently and as part of a team in a fast-paced environment.

Preferred requirements:

• Experience with digital analytics data (Adobe clickstream, transaction, and OMS data)

• Prior background in ecommerce analytics applications

• Familiarity with agile development methodologies.

Requisition ID : 31158