Cloud Data Engineer

Ford Motor Company

Jul 30, 2024

Applications are closed

Job
Full-time
Senior Level
Data
Dearborn

Requirements

Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
At least 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model
Automotive experience is preferred
Support in an onshore/offshore model is preferred
Excellent at problem solving and prevention.
Knowledge and practical experience of agile delivery
Even better, you may have..
Experience in IDOC processing, APIs and SAP data migration projects.
Experience working in SAP S4 Hana environment

Responsibilities

Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.
Build ETL pipelines to ingest the data from heterogeneous sources into our system
Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements
Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
Implement security measures and data governance policies to ensure the integrity and confidentiality of data.
Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
Work with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics.
Troubleshoot and resolve issues related to data processing, storage, and retrieval.
Stay updated on industry best practices and emerging technologies within the GCP ecosystem for continuous improvement of data engineering processes.
Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives.
Design and implement scalable, fault-tolerant solutions for data ingestion, processing, and storage.
Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance.
Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures.
Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
Collaborate with DevOps teams to automate infrastructure provisioning and management tasks.
Optimize and tune database queries and indexing strategies for improved query performance.
Stay abreast of advancements in GCP services and incorporate relevant technologies into data engineering solutions.
Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment.
Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.

FAQs

What is the primary goal of the Cloud Data Engineer position at Ford?

The primary goal of the Cloud Data Engineer position is to design and deploy a data-centric architecture in Google Cloud Platform (GCP) for the Materials Management Platform, which involves transforming Ford's Materials Requirement Planning and Inventory Management capabilities.

What are the key responsibilities of a Cloud Data Engineer at Ford?

The key responsibilities include designing GCP-based data solutions, building ETL pipelines, developing data processing pipelines using programming languages like Java and Python, creating and maintaining data models, managing SQL and NoSQL databases, and collaborating with cross-functional teams.

What qualifications are required for this position?

A bachelor's degree in computer science, information technology, or a related field is required, along with at least 5 years of experience in GCP data projects, preferably with a focus on implementing data-centric models. Automotive experience and support in an onshore/offshore model are also preferred.

Is automotive experience necessary for this role?

While automotive experience is preferred, it is not a strict requirement. Candidates with relevant data engineering experience are encouraged to apply.

What programming languages and tools should candidates be proficient in?

Candidates should have experience with programming languages such as Java and Python, and familiarity with various GCP tools including Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Dataflow, and others is required.

What opportunities for professional development does Ford offer?

Ford offers tuition assistance and opportunities for mentorship and guidance, fostering a collaborative environment where team members can share knowledge and grow their skills.

Are there off-site work options available for this position?

Yes, this position is designated as hybrid, allowing for a combination of remote and on-site work.

What kind of benefits does Ford provide for the Cloud Data Engineer position?

Benefits include immediate medical, dental, and prescription drug coverage, flexible parental leave, vehicle discount programs, paid time off for community service, and a generous holiday schedule, among others.

Does Ford provide visa sponsorship for this position?

Yes, visa sponsorship is available for this position.

What is the work culture like at Ford for this role?

Ford values a culturally diverse workforce and emphasizes collaboration, problem-solving, and innovation. Employees have the opportunity to influence company decisions and contribute to meaningful change within the organization.

What is the expected involvement with machine learning in this position?

The role involves collaborating with data scientists and analysts to integrate machine learning models into data pipelines for predictive analytics.

Ford Motor Company

Automotive

Industry

10,001+

Employees

1903

Founded Year

Mission & Purpose

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us. Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.