Data Engineer

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Prognostics.

Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?

The Data Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.

What you will do...

• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
• Build data pipelines to monitoring quality of data and performance of analytical models.
• Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
• Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
• Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
• Enhance and maintain the Dev Ops capabilities of the data platform.
• Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
• Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
• Promptly address code quality issues using Sonar Qube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
• Perform any necessary data mapping, data lineage activities and document information flows.
• Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
• Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
• Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
• Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford.
• Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.

You will have...

• Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
• 4 years of professional experience in:
  • Data engineering, data product development and software product launches
  • At least three of the following languages:
    Java, Python, Spark, Scala, SQL
• 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
  • Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google Big Query.
  • Workflow orchestration tools like Airflow.
  • Relational Database Management System like MySQL, Postgre
    
    SQL, and SQL Server.
  • Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
  • Microservices architecture to deliver large-scale real-time data processing application.
  • REST APIs for compute, storage, operations, and security.
  • Dev Ops tools such as Tekton, Git Hub Actions, Git, Git Hub, Terraform, Docker.
  • Project management tools like Atlassian JIRA.

• Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a…