Creating the future of smart mobility requires intelligent use of data. That's where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to see business conditions clearly in the competitive automotive landscape. With our support, key decision-makers act in meaningful, positive ways to move our organization forward. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.n
Ford Global Data Insights and Analytics is looking for a Cloud Data Engineer, an exciting opportunity on the team supporting some of Ford's most visible initiatives. The role of the Cloud Data Engineer is a critical enabler in helping us deliver solutions to the enterprise that take advantage of Ford's vast and varied data landscape. This role will take on the most difficult data challenges in the industry and help us realize a modern enterprise data platform for one of the world's most iconic companies. The Cloud Data Architect will help drive our strategy for organizing our enterprise data and will design novel solutions to turn the information in our enterprise systems into insights for leaders and decision-makers.
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- Bachelor's (or Equivalent) Degree in Computer Science, Informatics, Data Engineering, or related fieldn
- 6+ years of experience as a Data Architect or similar role with a strong focus on structured and unstructured data.n
- Experience in Cloud (GCP, AWS, ..), SQL and NoSQL databases, Java, Hadoop, Python, Spark, Data Lakes, Data Warehouses, and Data Marts preferredn
- Strong understanding of distributed systems, data processing frameworks, and data warehousing concepts.n
- Expert in SQL for querying and manipulating data.n
- Experience with Python for data processing, scripting, and automation.n
- Experience with data modeling, data governance, and data quality best practices.n
- Excellent organizational skillsn
- Strong written and verbal communication skills with the ability to transfer knowledge to othersn
- Experience with DevOps practices and toolsn
- Expertise in GCP data services like Cloud Pub/Sub, Dataflow, BigQuery, and related technologies preferred
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- Refine and manage a data architecture roadmap: Collaborate with data engineers, data scientists, and business stakeholders: Work closely with other teams to understand their data requirements and translate them into technical specifications and models.n
- Leverage GCP services like Cloud Pub/Sub, Dataflow, and BigQuery to build reliable and efficient data pipelines.n
- Develop and maintain data schemas and models: Ensure data integrity, consistency, and quality across multiple data assets.n
- Learn, know, and understand Ford's enterprise data assetsn
- Think creatively about new ways to use the data in our environments to progress the goals of our business.n
- Perform performance tuning and optimization: Identify bottlenecks and optimize the performance of data pipelines to meet business requirements.n
- Stay abreast of emerging technologies and best practices in streaming data: Continuously learn and adopt new technologies and approaches to keep our data architecture at the forefront of the industry.
