.About PACCARPACCAR, Inc. is a Fortune 500 company established in 1905 and is recognized as a global leader in the commercial vehicle, financial, and customer service fields. PACCAR is a global technology leader in the design, manufacture, and customer support of high:Quality light:, medium:And heavy:Duty trucks under its internationally recognized brands Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and provides customized financial services, information technology and truck parts related to its Importante empresa business.Your next career move is waiting at PACCAR whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services. Join the PACCAR team todayThe RoleDoes empowering teams to makedatadriven decisions excite you? Do you wake up in the morning wondering what possibilities could be unlocked with moredata? PACCAR is looking for adataengineer to join the team.DataEngineering focuses on making possible fast, accurate, and reliable access todata. We builddatapipelines, manage adatalake, and support the production use of ourdata. We advocate for leading datapractices and make sure that our business users can makedatadriven decisions.About the TeamAs a Data Engineer, you will work with a highly celebrative team of data engineers with different backgrounds. This data engineering team focuses on solving PACCAR's most important challenges by making data available to our data science and analytics teams. As part of a diversified global Fortune 500 company, the data engineering team works on a huge variety of projects, from building data ingestion pipelines to data quality products, data integration servicesand data platforms. Come join this dynamic, growing, and pioneering teamJob Responsibilities:Build and support automateddatapipelines from a wide range ofdatasource:Working on ways to automated and improve development and release processes:Contribute to overall architecture, framework, and design patterns to store and process highdatavolumes:Develop solutions to measure, improve, and monitordataquality based on business requirements:Proactively support product health by building solutions that are automated, scalable, and sustainable:Be relentlessly focused on minimizing defects and technical debt:Provide post:Implementation production support fordatapipelinesRequired Importante empresa and Skills:3+ years of Importante empresa in adataengineering role:2+ years of Importante empresa with Cloud and related services (e.G