Ford Motor Company
Ford Motor Company
Ford Motor Company — тарихы 1903 жылдан басталатын, Америка Құрама Штаттарында орналасқан автомобиль өндірушісі. Компания көліктерді әзірлеп, өндірумен қатар, ұтқырлық қызметтері, цифрлық тәжірибелер және бағдарламалық жасақтама бағыттарындағы жұмысын кеңейтіп келеді. Ford қызметі көлік, инновация, қоғамға әсер ету және жауапты бизнес тәжірибелерін өзара байланыстыратын тәсілді ұстана отырып, тұрақты даму бастамалары мен экологиялық мақсаттарды да қамтиды.

Ford Data Engineer, Google Cloud

Build Google Cloud data pipelines and infrastructure for Ford Pro, turning commercial analytics into executive dashboards and strategic insights.

Сипаттама

  • Create and optimize data pipelines with Astronomer, Apache Airflow, and related orchestration tools.
  • Develop scalable ingestion, transformation, validation, and processing solutions for structured and semi-structured data.
  • Deploy and operate Google Cloud services, including BigQuery, Dataflow, and Cloud Run.
  • Use advanced SQL to extract, transform, analyze, and optimize large datasets.
  • Write maintainable Python for data transformation, automation, workflow development, and analysis.
  • Design and support data models, datasets, and reporting layers for business intelligence and analytics.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code.
  • Develop and maintain CI/CD automation with Tekton, GitHub, and related DevOps tools.
  • Establish data quality controls, monitoring, error handling, and operational support practices.
  • Create Looker Studio dashboards and reports that track KPIs and inform stakeholders.
  • Work with business teams and leaders to understand data needs and align data strategy with business goals.
  • Present technical findings and complex data insights as actionable guidance for nontechnical audiences.
  • Prepare executive-ready analyses, reports, and presentations using PowerPoint and Excel.
  • Take part in technical design sessions, Agile planning, peer reviews, and continuous improvement.
  • Advance data engineering standards, documentation, reusable patterns, and collaborative engineering practices.

Талаптар

  • Bachelor’s degree or foreign equivalent in computer science, information technology, or a related technology field.
  • At least five years of professional experience in data engineering, data platform engineering, analytics engineering, or a related discipline.
  • Experience designing, building, deploying, and supporting scalable data pipelines and cloud-based data solutions.
  • Experience translating business stakeholders’ data needs into technical solutions and actionable insights.
  • Strong communication, analytical, problem-solving, and stakeholder management skills.
  • Ability to work independently and collaboratively in a cross-functional Agile delivery environment.
  • Strong SQL skills, including complex queries, performance tuning, and work with large datasets.
  • Hands-on experience with BigQuery and PostgreSQL, using pgAdmin or comparable tools.
  • Intermediate to advanced Python coding skills.
  • Hands-on Google Cloud Platform experience, including BigQuery, Dataflow, and Cloud Run.
  • Experience with Apache Airflow, Astronomer, or similar orchestration tools.
  • Experience provisioning cloud infrastructure with Terraform and Infrastructure as Code.
  • Experience with Tekton or comparable CI/CD technologies.
  • Experience with GitHub and Visual Studio Code.
  • Experience creating dashboards and visualizations with Looker Studio or similar BI tools.
  • Understanding of data quality, governance, cloud security, monitoring, and operational support.
  • Must be legally authorized to work in the United States.

Артықшылықтар

  • Medical, dental, and prescription drug coverage begins immediately.
  • Family care resources, parental leave, new-parent ramp-up programs, subsidized backup child care, and more.
  • Vehicle discount program for employees and family members, plus management leases.
  • Tuition assistance.
  • Active employee resource groups.
  • Paid leave for individual and team community service.
  • Paid holidays, including the week between Christmas and New Year’s Day.
  • Paid time off, with the option to purchase additional vacation time.
  • Visa sponsorship.

Ұқсас жұмыс орындары

Cardinal Health

Data Engineering Manager at Cardinal Health

Cardinal Health

Lead enterprise data transformation teams at Cardinal Health, overseeing Google Cloud platforms and analytics and AI/ML operations. Guide delivery, platform improvements, and talent development.

Ашу
Proactive Technology Management

Senior Microsoft Fabric BI Architect and Data Engineer

Proactive Technology Management
11 – 50 Қызметкерлер
SaaSКонсалтингМаркетинг

Lead Microsoft Fabric, Power BI, and medallion architecture work for small and midsize business clients. Turn complex data into clear, human-centered insights that support business decisions.

Ашу
Rackspace Technology

Data Engineer V (Hybrid, United States)

Rackspace Technology

Lead data engineering strategy for enterprise data warehouse pipelines and AI/RAG infrastructure at Rackspace Technology. Guide engineers, delivery standards, stakeholder roadmaps, operational metrics, and pipeline reliability.

Ашу
Travelers

Lead Architect, Database and Data Platform – Travelers, Atlanta Hybrid

Travelers

Lead Travelers’ architecture modernization across cloud, APIs, AI/ML, and enterprise data platforms. Set technology direction, develop roadmaps and proofs of concept, and deliver scalable solutions for insurance operations.

Ашу
Ford Motor Company

Деректер инженері, қосылған көлік аналитикасы — Ford Motor Company (Гибридті)

Ford Motor Company

Ford Motor Company компаниясында қосылған көлік телеметриясына арналған ауқымды бұлттық деректер өнімдері мен конвейерлерін жасаңыз. Деректер сапасын, басқаруды, бақыланымдылықты, аналитиканы және өндірістік көліктерді жетілдіруді қолдаңыз.

Ашу