We are currently seeking a seasoned GCP Cloud Data Engineer with at least 12+ years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model.
This position is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier supply Chain, Supplier collaboration
- 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. x
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- At least 12 years of progressive experience in IT and specifically working on Cloud Platforms with specialization in ETL (Extract, Transform, Load) Tools
- 12+ years of experience in leading/implementing GCP (Google Cloud Platform) data projects, preferrable implementing complete data centric model.
- Design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier supply Chain, Supplier collaboration
- Experience of Implementing SAP modules in Automotive OEM’s or Ancillaries
- Experience in Requirements gathering/Fit-Gap Assessments & subsequent building of Global template
- Knowledge of SAP’s ACTIVATE Methodology
- Experience in Delivering Training during the deployment phase to end users
- Experience in Estimating/Developing RICEFW Objects
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
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 of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This position is a salary grade LL6.
This position is a range of salary grades LL6.
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
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.
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