Full Stack Data Engineer
Full Stack Data Engineer
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1 Vacancy
Job Description
We are the movers of the world and the makers of the future. We get up every day roll up our sleeves and build a better world together. At Ford were all a part of something bigger than ourselves. Are you ready to change the way the world moves
Enterprise Technology plays a critical part in shaping the future of mobility. If youre looking for the chance to leverage advanced technology to redefine the transportation landscape enhance the customer experience and improve peoples lives this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
Visa sponsorship & relocation are NOT available for this position.
Were seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role youll be responsible for designing building and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. Youll work with GCP Native technologies like BigQuery Dataflow and Pub/Sub ensuring data governance security and optimal performance. This is a fantastic opportunity to leverage your fullstack expertise collaborate with talented teams and establish best practices for data engineering at Ford.
Responsibilities
What Youll Do: Responsibilities)
Data Pipeline Architect & Builder:Spearhead the design development and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized highquality and optimized for analytical use. Leverage cuttingedge tools and technologies including Python SQL and DBT/Dataform to build robust and efficient data pipelines.
EndtoEnd Integration Expert:Utilize your fullstack skills to contribute to seamless endtoend development ensuring smooth and reliable data flow from source to insight.
GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery Dataflow Pub/Sub Cloud Functions etc. to build and manage data platforms that not only meet but exceed business needs and expectations.
Data Governance & Security Champion: Implement and manage robust data governance policies access controls and security best practices fully utilizing GCPs native security features to protect sensitive data.
Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning championing best practices in Infrastructure as Code (IaC).
Performance Optimization Driver: Continuously monitor and improve the performance scalability and efficiency of data pipelines and storage solutions ensuring optimal resource utilization and costeffectiveness.
Collaborative Innovator: Collaborate effectively with data architects application architects service owners and crossfunctional teams to define and promote best practices design patterns and frameworks for cloud data engineering.
Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability improve data quality minimize manual intervention and drive operational efficiency.
Effective Communicator: Clearly and transparently communicate complex technical decisions to both technical and nontechnical stakeholders fostering understanding and alignment.
Continuous Learner: Stay ahead of the curve by continuously learning about industry trends and emerging technologies proactively identifying opportunities to improve our data platform and enhance our capabilities.
Business Impact Translator: Translate complex business requirements into optimized data asset designs and efficient code ensuring that our data solutions directly contribute to business goals.
Documentation & Knowledge Sharer: Develop comprehensive documentation for data engineering processes promoting knowledge sharing facilitating collaboration and ensuring longterm system maintainability.
Qualifications
What Youll Bring: (Qualifications)
- Masters degree in Computer Science Information Technology Information Systems Data Analytics or a related field (or equivalent combination of education and experience).
- 7 years of experience in Data Engineering or Software Engineering with at least 4 years of handson experience building and deploying cloudbased data platforms (GCP preferred).
- Strong proficiency in SQL Java and Python with practical experience in designing and deploying cloudbased data pipelines using GCP services like BigQuery Dataflow and DataProc.
- Solid understanding of ServiceOriented Architecture (SOA) and microservices and their application within a cloud data platform.
- Experience with relational databases (e.g. PostgreSQL MySQL) NoSQL databases and columnar databases (e.g. BigQuery).
- Proficient in utilizing web sing tools including Beautiful Soup Sy and Selenium to extract and process data from dynamic and static websites transforming unstructured information comprehensive structured comprehensive datasets t
- Knowledge of data governance frameworks data encryption and data masking techniques in cloud environments.
- Familiarity with CI/CD pipelines Infrastructure as Code (IaC) tools like Terraform and Tekton and other automation frameworks.
- Excellent analytical and problemsolving skills with the ability to troubleshoot complex data platform and microservices issues.
- Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g. BigQuery Dataflow Cloud Run DataProc).
- A passion for data innovation and continuous learning.
You may not check every box or your experience may look a little different from what weve 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 builderor all of the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental vision and prescription drug coverage
Flexible family care days paid parental leave new parent rampup programs subsidized backup child care and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments 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 Years Day
Paid time off and the option to purchase additional vacation time.
This position is a salary grades 8
For more information on salary and benefits click here: sponsorship & relocation are NOT 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.
Employment Type
Full-Time
