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Data Engineer Jobs

Company

Ford Motor Company

Address , Dearborn, 48120
Employment type FULL_TIME
Salary
Expires 2023-10-14
Posted at 8 months ago
Job Description

Data Engineer

The GDI&A C360 CX team is interested in hiring a Technical Anchor, who will collaborate directly and continuously with Product Manager, Product Owner, Software Engineers, Data Engineers and Subject-Matter Experts.

TA will be responsible for designing the transformation and modernization of big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies

Experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is needed

We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.


Skills Required:

  • Bachelor's Degree
  • Experience in Java/python in-depth
  • Experience and expertise on Terraform to deploy the GCP’s in CI/CD.
  • GCP Certification Preferred- Professional Data Engineer or Associate Cloud Engineer
  • Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL principles and write complex sql queries.
  • GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:

https://clicktime.symantec.com/15tStcNvFyz9nxGQ8FBYE?h=dp3jDivxlAqIOWGWVxrR3R24krpC_6OYNioJK1UjsK0=&u=https://fordcareers.co/GSR-HTHD

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

# LI-Hybrid


Key Responsibilities:

  • BigQuery, Pub/Sub, Data Fusion, DataProc, Astronomer & Airflow, Cloud SQL, Cloud Functions, Cloud Run, DataFlow (Apache Beam)
  • Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions
  • Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successfully deployment of Data Platform Implement methods for automation of all parts of the pipeline to minimize labor in development and production.
  • Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services:
    • BigQuery, Pub/Sub, Data Fusion, DataProc, Astronomer & Airflow, Cloud SQL, Cloud Functions, Cloud Run, DataFlow (Apache Beam)
  • Implementing Data Quality framework E2E
  • Migrate existing Big Data pipelines into Google Cloud Platform
  • Test and compare competing solutions and report out a point of view on the best solution