Join Our Team as a Data Engineer at Ford Motor Company

Are you a skilled and passionate Data Engineer? Join the dynamic Digital Analytics & Experimentation team at Ford Motor Company, where you will play a pivotal role in designing, implementing, and maintaining a robust data infrastructure on Google Cloud Platform (GCP). Collaborate closely with analysts and stakeholders to ensure a scalable data pipeline that powers our Qlik dashboards, enterprise reporting, and other data-driven projects.

Key Responsibilities

• 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 such as Dataflow, Cloud Functions, and Pub/Sub to meet digital analytics requirements.
• Develop and optimize ETL processes to ingest, transform, and load data from multiple sources into our data warehouse, ensuring high 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 for 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 Qlik dashboards, ensuring they are powered by accurate and timely data.
• Stay current with the latest technologies and best practices in data engineering, with a particular focus on the GCP ecosystem.

Qualifications

• 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.

Join Ford Motor Company as a Data Engineer, Digital Analytics, and take the next step in your data engineering career with a company known for innovation and excellence. Apply today!