Join International’s Data-Driven Revolution as a Data Engineer!
As the commercial vehicle industry undergoes its most significant transformation in a century, International is leading the charge. We're not just supplying trucks, buses, and engines; we're redefining transportation. Embracing a bold digital transformation, International is ushering in a new era of complete and sustainable transport solutions.
International is not just building trucks – it's forging the future of mobility. As a global industry pioneer, International 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 International now and be a part of the journey towards a brighter, more connected tomorrow.
As a Data Engineer, you will leverage cutting-edge analytics to unlock the potential within our data, guide critical business decisions, and propel sustainable growth.
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Master’s degree and no experienceOR
At least 3 years of data engineering, data quality and/or analytics or statistical analysis experience Additional Requirements Qualified candidates, excluding current International Motors employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. International Motors does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills Hands-on experience with software development, data engineering, and systems architecture.Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics, or equivalent.Understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.Proficiency in PLSQL, Spark, PySpark, Python, and Pandas.Experience with Azure Data Factory, Synapse, ADLS, and Event Hub.Experience developing and maintaining data warehouses with Big Data technologies.Knowledge of modernizing Hadoop, Teradata on-prem data warehouses is a plus.Familiarity with DevOps tools like Azure DevOps.Intellectual curiosity to understand and answer questions.Exemplary organizational skills with attention to detail and accuracy. Your Referral Choices Are Refer a Friend by EmailMake Referral <p style="margin: 0px;"><span style="font-size: 12pt;">Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.</span></p> Share on your newsfeed Application FAQsSoftware Powered by iCIMS
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