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Company | Ford Motor Company |
Address | , Dearborn, Mi |
Employment type | |
Salary | |
Expires | 2023-07-21 |
Posted at | 11 months ago |
& Qualifications
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 a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
Ford Motor Company is proud to be an Emerald sponsor of the Grace Hopper Conference, and we are excited to be a part of this event. Whether you are in person in Orlando, or attending virtually, we would love to hear from you!
As a Cloud Data Engineer, you will leverage your technical expertise in data, analytics, cloud technologies, and analytic software tools to identify best designs, improve business processes, and generate measurable business outcomes.
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. https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-GSR-sal-plan-2.pdf
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Ford Motor Company is proud to be an Emerald sponsor of the Grace Hopper Conference, and we are excited to be a part of this event. Whether you are in person in Orlando, or attending virtually, we would love to hear from you!
As a Cloud Data Engineer, you will leverage your technical expertise in data, analytics, cloud technologies, and analytic software tools to identify best designs, improve business processes, and generate measurable business outcomes.
What you'll be able to do:
- Build cloud-native services and APIs to support and expose data-driven solutions.
- Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
- Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams
- Design, build and launch shared data services to be leveraged by the internal and external partner developer community.
- Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and monitor data pipelines.
- Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford verticals. This data will be landed in GCP BigQuery.
- Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise.
The minimum requirements we seek:
- 2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered
- 2+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
- Bachelor’s Degree in Computer Science, Electrical Engineering or a related field, or a combination of education or equivalent experience.
- 2+ years of experience with SQL and Python
Our preferred qualifications:
- Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub.
- Inquisitive, proactive, and interested in learning new tools and techniques.
- Master’s degree in Computer Engineering, Computer Science, or a related field of study.
- Comfortable working in a dynamic environment where problems are not always well-defined.
- Strong oral, written and interpersonal communication skills
- 1+ year experience with Hive, Spark, Scala, JavaScript.
- Familiarity with big data and machine learning tools and platforms. Comfortable with open-source technologies including Apache Spark, Hadoop, Kafka.
What you will receive in return:
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. https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2022-benefits-and-comp-GSR-sal-plan-2.pdf
At Ford, the health and safety of our employees is our top priority. Vaccination has been proven to play a critical role in combating COVID-19. As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption.
Auto req ID
64580BR
State
Michigan
Skill Team
Global Data Insight & Analytics (GDIA)
Sub-Component
Operations Analytics
Virtual/Remote Position
Yes
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