Gcp Data Engineer

Do you believe data tell the real story? We do!

Global Data Insight & Analytics (GDI&A) aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise’s known goals, reveal hidden opportunities, and achieve data superiority.

Product Engineering and Management (PEM) is GDI&A’s organization for creating analytical-inspired products and services at the intersection of the commercial, customer service, and connected vehicle domains. Leveraging multi-disciplinary product teams, agile processes and methodologies, technologies in the big data space, and AI/ML.

GDI&A DataTech is looking for a GCP Cloud Data Engineerfocused on deep diving into using state-of-the-art development tools to understand, ingest, and present complex data from a series of sources internal and external to the enterprise.

You should have a knack for implementing and learning required toolsets, working with connected vehicle and legacy datasets to build and publish logical representations of data. These well-managed and organized data platforms will empower the building of new technologies, new applications, or industry-disrupting new insights from visually appealing dashboards.

Come and join this exciting and fast-paced role, which requires exceptional technical data and analytics skills with the opportunity to create a huge impact on Ford’s business.

The minimum requirements we seek:

• Bachelor’s Degree in Data Science, Data Analytics, Computer Science, Computer Engineering, Applied Mathematics, Statistics, Business Analytics, Operations Research, or related quantitative field
• 3+ years’ experience in handling data and data processes
• 1+ years of experience utilizing Python, SQL, and Google Cloud Ops
• Experience with GCP native BigQuery and/or Postgres
• Experience building out GCP data pipelines of Data fusion from scratch in a highly distributed and fault-tolerant manner.
• Experience with any of the following: Astronomer ( Airflow), Dataflow, Cloud Run, DBT, and/or PubSub
• Experience developing data standards.
• Experience creating Data Models and Data products.
Experience with unstructured data and streaming data.

Our preferred requirements:

• Advanced Degree in Data Science, Data Analytics, Computer Science, Computer Engineering, Applied Mathematics, Statistics, Business Analytics, Operations Research, or related quantitative field.
• Demonstrated experience building visualizations using Looker.
• Ability to write complex SQL queries needed to query & analyze data
• Experience with unstructured data and streaming data using Mongo DB/Atlas and/or Firestore
• Knowledge of data management standards, data governance practices, and data quality
• Demonstrated problem formulation with the ability to take complex problems and break them down to create and implement an action plan.
• Ability to communicate findings to make data analysis actionable and understandable by Data Operations team members, and business partners, including IT and analytic teams.
• Ability to effectively communicate information and ideas in written and verbal formats, including process documentation.
• Highly effective in working with other technical experts, Product Managers, and business stakeholders.
• Excellent verbal and written communication skills with the ability to communicate effectively with all levels of management in varying areas of business and enterprise technology.
Strong collaboration and influencing skills, and the ability to energize a cross-functional team

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

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 1-888-336-0660.

As a GDI&A GCP Cloud Data Engineer, you will work in a Product Management Delivery model by collaborating directly and continuously with product managers, product owners, and software engineers, and will follow industry best practices to perform and automate complex ETL functions.

What you’ll be able to do:

• As a Data Steward, consult with analytics teams, IT partners, and business partners to provide data domain expertise
• Design, develop, create, and production of Data Products for customers
• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources
• Develop and document the process to operationalize data management at Ford by collaborating with Data Governance and Data Acquisition teams
• Work with Product Owners, Product Managers, and Product Teams to prioritize and land data sources in conjunction with Analytics Customer needs
• Participate in information governance processes
• Establish data standards and quality benchmarks and drive improvements to data quality to improve analytic outcomes
• Provide expertise in the business domain required to deliver business objectives
• Manage business information issues and problem-resolution processes
• Drive and be a catalyst for innovation
• Persevere and persist in situations with multiple objectives and multi-variable problems
• Think flexibly in a complex, highly interdependent environment with challenging financial, technical, and project management constraints
• Drive long-term enterprise view against tactical requirements. Tradeoffs between tactical expediency and long-term business improvements are difficult to negotiate and sustain.
• Support alignment between business, IT, and GDI&A stakeholders to drive results (issue resolution, risk mitigation, issue avoidance)
• Provide departmental feedback to other GDI&A groups regarding processes and standards
• Collaborate and motivate within the department, including readily sharing best practices with other Data Operations and GDI&A groups