Job Details

ID #51464910
Estado Dakota del Norte
Ciudad Bismarck
Full-time
Salario USD TBD TBD
Fuente Ford Motor Company
Showed 2024-04-12
Fecha 2024-04-13
Fecha tope 2024-06-12
Categoría Etcétera
Crear un currículum vítae
Aplica ya

Data Engineer

Dakota del Norte, Bismarck, 58501 Bismarck USA
Aplica ya

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!This is a hybrid position and we prefer candidates able to work hybrid from our Dearborn, MI office.Position Responsibilities

Design, Develop and Implement data engineering solutions using standards, templates, patterns and best practices in the Google Cloud Platform

Full stack data engineering solutions utilizing both structured and unstructured data: development, ingestion, curation, implementation, deployment, automation and monitoring

Collaborates with the Data Factory Engineering Organization, Data Architecture, PEM, GDIA, Information Technology and Data Consumers to drive data engineering capabilities, product design and proof of concepts, MVPs, to expand understanding, define technical optimization, explore configurations and overcome challenges

Create high quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation and auditability

Work as an individual contributor and part of a team to build, test, maintain and troubleshoot data solutions

Continuously integrates and deploys data solutions via CI/CD

Use of Test Driven Development and Code Pairing Practices

Develop and maintain comprehensive documentation for data engineering processes, systems and pipelines, ensuring clarity, transparency and customer requirements

You'll have

Bachelor’s degree in a Technical Field: Computer Science, Data Science, Computational Finance, Statistics, Economics and/or Mathematics: Masters Preferred

5+ years of experience in data solution, pipeline, mart and/or warehouse development and delivery using agile development methodology

Critical thinking skills to propose solutions, test, and make them a reality.

2+ years of experience in a Data Engineering Competency on a public cloud – Google, MS Azure, AWS

2+ years Integration and Configuration Scripting in Tekton and Terraform

3+ years of experience writing complex SQL

3+ years of experience writing data solutions in Python, Java, Scala or Go

Deep understanding of data service ecosystems including data warehouses, lakes, metadata, meshes, fabrics and analytical use cases

User experience advocacy through empathetic stakeholder relationship

Excellent Communication Skills, Verbal and Written, for both internal and external team members

Strong documentation skills for both technical specifications, customer requirements and github repository documentation

Even better, you may have .

2+ years Extensive knowledge and understanding of GCP offerings, bundled services, especially those associated with data operations Cloud Console, BigQuery, Data Flow, Data Fusion, PubSub / Kafka, Looker Studio and VertexAI

Experience with Teradata, Hadoop, Hive, Spark and other on-premise/legacy data solutions

Experience optimizing data solutions and data science/analytical workflows: re-coding/re-developing/re-factoring

Data Governance concepts including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), PoLP and how these can impact technical architecture

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 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 childcare 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://fordcareers.co/GSRnon-HTHD (https://urldefense.com/v3/https:/fordcareers.co/GSRnon-HTHD;NLtwI-RPugbI9wg0dJn!G4r6lxQF1p3r2bSJHcuaS7gKULTJz9Y82apspWic5ixeC8gRr2mkYqV89t4mtnud5F5DqmFE424whQ$)This position is a range of salary grades GSR7 - GSR8 .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.Requisition ID : 26772

Aplica ya Suscribir Reportar trabajo