À propos
Responsibilities
Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
Build data pipelines to monitor data quality and performance of analytic models.
Maintain the infrastructure of the data platform using Terraform and continuously develop, evaluate, and deliver code via CI/CD.
Collaborate with data analytics stakeholders to streamline data acquisition, processing, and presentation.
Implement an enterprise data governance model and actively promote data protection, sharing, reuse, quality, and standards.
Enhance and maintain DevOps capabilities of the data platform.
Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for performance, security, cost, and reliability.
Work in an agile product team to deliver code frequently using TDD, CI/CD.
Address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
Perform data mapping, lineage activities, and document information flows.
Monitor production pipelines and provide support by addressing production issues per SLAs.
Provide analysis of connected vehicle data to support new product developments and vehicle improvements.
Provide visibility of data quality and vehicle/feature issues and collaborate with business owners to fix them.
Demonstrate technical knowledge and communication skills, advocating for well‑designed solutions.
Continuously enhance domain knowledge of connected vehicle data, services, and algorithms/models developed by data scientists.
Stay current on the latest data engineering practices and contribute to the company’s technical direction with a customer‑centric approach.
Qualifications
Master’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with a Bachelor’s degree).
4 years of professional experience in:
Data engineering, data product development and software product launches.
At least three of the following languages: Java, Python, Spark, Scala, SQL.
3 years of cloud data/software engineering experience building scalable, reliable, and cost‑effective production batch and streaming pipelines using:
Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.
Workflow orchestration tools like Airflow.
RDBMS like MySQL, PostgreSQL, SQL Server.
Real‑time streaming platform like Apache Kafka, GCP Pub/Sub.
Microservices architecture for large‑scale real‑time processing.
REST APIs for compute, storage, operations, and security.
DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
Project management tools like Atlassian JIRA.
Even Better if You Have
Ph.D. or foreign equivalent in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field.
2 years of experience with ML Model Development and/or MLOps.
Committed code contributions to open‑source data/software engineering projects.
Experience architecting cloud infrastructure and handling application migrations/upgrades.
GCP Professional Certifications.
Demonstrated passion to mine raw data and realize its hidden value.
Passion to experiment and implement state‑of‑the‑art data engineering methods.
Experience implementing end‑to‑end pipeline automation to minimize labor in development and production.
Analytics skills to profile data and troubleshoot pipeline/product issues.
Ability to simplify complex data/software ideas and communicate clearly to cross‑functional teams and all levels of management independently.
Benefits
Immediate medical, dental, vision and prescription drug coverage.
Flexible family care days, paid parental leave, new parent ramp‑up 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.
Active employee resource groups.
Paid time off for individual and team community service.
Generous paid holidays, including the week between Christmas and New Year’s Day.
Paid time off and option to purchase additional vacation time.
Additional Information Salary range: Grade 6–8.
Visa sponsorship is not available for this position.
Position is hybrid: candidates within commuting distance to a Ford hub located will be required to be onsite four or more days per week.
Equal Opportunity Employer We are an Equal Opportunity Employer. All qualified applicants will receive consideration 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 due to a disability, please call 1‑888‑336‑0660.
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Compétences linguistiques
- English
Avis aux utilisateurs
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