at Ford Motor Company in Dover, Delaware, United States
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, we're 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 you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's 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.
Contribute to overall data standards, information interoperability, data quality, and data availability. Autonomously perform Quality Assurance and resolve data quality issues. Evaluate, explore, and select the right data platform technologies to meet analytics requirements. Model data, create data flow diagrams, load, and perform transformation. Independently drive alignment and delivery of data transformations and data products to meet business objectives. Build product and align the best coding and process practices that improve efficiency, speed, stability, system resources and capabilities. Lead in translating business requirements to build scalable, sustainable, efficient, coded processes. Productionize coded processes and contribute to overall customer/end-user experience strategy and vision. Support scalable growth, to accelerate delivery of business value. Drive the data strategy and align it with continuously changing business landscapes utilizing his background in data design, data architecture, and data modeling (both transactional and analytical).
+ Requires a master's degree in computer engineering, computer science, information technology, business analytics or a related field and 5 years of experience in the position offered or 5 years acquiring data from disparate sources, cleansing and transforming data, developing and implementing data analyses, and summarizing business insights.
+ Requires 5 years of experience creating data products using HDFS and Hive within Hadoop to analyze and secure data; or building data pipelines, developing data products to support critical business initiatives, and overseeing data landing requests.
+ Requires experience with the GCP Platform and GCP tools (Big Query, DBT , Astronomer and Tekton)
+ Requires 5 years of experience with data warehousing, Teradata and Datastage
+ Requires experience with Bill of Material systems and parts
Requisition ID : 26544
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