We are the movers of the world and the makers of the future. We get up daily, roll our sleeves, and build a better world together. At Ford, we believe freedom of movement drives human progress and we're all a part of something bigger than ourselves. You will have the opportunity to accelerate your career potential as you help us define tomorrow's transportation.
Ford Pro
is a new global business within Ford committed to commercial customer productivity. Ford Pro delivers a work-ready suite of vehicles, accessories, and services for virtually every vocation, backed by technology, and engineered for uptime. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
FordPro Tech
is seeking a talented and experienced Google Cloud Analytics Engineer to join our Analytics product group. As a Google Cloud Analytics Engineer at FordPro Tech, you will be responsible for delivering innovative data science and machine learning solutions to drive business growth and enhance customer experiences.
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do.
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
What you'll be able to do:
Designing, developing, and maintaining pipelines on Google Cloud Platform (GCP) to support data analytics and machine learning initiatives.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Implementing data governance and security best practices to ensure data integrity and compliance.
Optimizing infrastructure and architecture for scalability and performance.
Providing technical expertise and guidance on engineering best practices.
Designing, developing, and maintaining pipelines on Google Cloud Platform (GCP) to support data analytics and machine learning initiatives.
The minimum requirements we seek:
Bachelor's Degree in a related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, Computer Science, Computer Engineer)
Minimum of 5 years of experience in data and analytics engineering, with a focus on a Cloud Platform (Google is preferred).
Previous experience in utilizing data and analytics engineering concepts such as ETL processes, data modeling, data pipelines, and machine learning pipelines.
Experience with programming languages such as Python, SQL, and/or Java for data processing and analysis.
Our preferred qualifications:
Master's Degree in a related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science)
Proficiency in GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Storage
Experience leveraging Google Cloud Dataflow for data quality management.
Experience with Terraform for CI/CD pipeline execution, coupled with Tekton integrated into Git.
Knowledge of distributed computing frameworks like Apache Spark and Apache Beam.
Familiarity with data warehousing solutions and tools such as BigQuery, Snowflake, and Postgres.
Ability to troubleshoot and optimize pipelines for performance and scalability.
Strong problem-solving skills and ability to work with large datasets efficiently.
Self-motivated with excellent verbal and written skills.
Proactive, great attention to detail, results-oriented problem-solver.
Ability to work under pressure, establish priorities, and respond with urgency.
Consensus building and collaborative interpersonal skills.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
What you'll receive in return:
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, generous PTO, retirement, and savings plans, incentive compensation, tuition assistance, a vehicle discount program, and much more.
For information on Ford's salary and benefits, please visit:
_https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf_
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This position is a range of salary grades 7 and 8
.)
Candidates with Ford Motor Company positions must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is "not" available for this position.
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 ******** .
Requisition ID
: 27616
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