Shape the future of Navistar’s data-driven revolution as our Lead Data Engineer.
As the commercial vehicle industry undertakes its most significant transformation in a century, Navistar stands at the forefront, a vanguard of the movement. No longer content with merely supplying trucks, buses, and engines, Navistar is on a mission to redefine transportation. Embracing a bold digital transformation, Navistar is ushering in a new era of complete and sustainable transport solutions.
Navistar is not just building trucks – it's forging the future of mobility. As a global industry pioneer, Navistar is assembling a team of makers, problem solvers, and future world builders. Together, we are not just imagining a better world – We're shaping it, one innovative solution at a time. Join Navistar now and be a part of the journey towards a brighter, more connected tomorrow.
ResponsibilitiesAs a lead data engineer, you will leverage cutting-edge analytics to unlock the potential within our data, guide critical business decisions and propel sustainable growth.
Key activities:
Design, develop, optimize, and maintain data pipelines, storage, compute components using Azure ServicesUnderstand the Data Platforms & Services strategy, information architecture and build modern data lake to support Navistar’s data needs.Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutionsLead the evaluation, implementation and deployment of emerging tools to modernize data platformPartner with analysts and architects to develop technical architectures for data engineering projects Minimum Requirements Bachelor’s degree At least 9 years of data engineering, data quality and/or analytics or statistical analysis experienceAt least 2 years of lead experienceOR
Master’s degreeAt least 5 years of data engineering, data quality and/or analytics or statistical analysis experienceAt least 2 years of lead experienceOR
At least 12 years of analytics or data engineering, data quality and/or analytics or statistical analysis experienceAt least 2 years of lead experience Additional Requirements Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills Technology experience that includes hands-on experience with software development, data engineering, and systems architectureExperience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalentExhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.Strong proficiency in PLSQL, Spark, PySpark, Python and PandasHands on experience in Azure Data Factory, Synapse, ADLS and Event HubSolid experience developing and maintaining data warehouses with Big Data technologiesExperience in modernizing Hadoop, Teradata on-prem data warehouses would be a plusExperience with DevOps tools like Azure DevOpsExceptional communication and collaboration skills to understand business partner needs and deliver solutionsBias for action, with ability to deliver outstanding results through task prioritization and time managementIntellectual curiosity to understand and answer questionsIntellectual humility to leverage the expertise of othersExemplary organizational skills with attention to detail & accuracy Your Referral Choices Are Refer a Friend by EmailMake Referral Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Application FAQsSoftware Powered by iCIMS
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