Position Overview: Shape the future of Navistars 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. Responsibilities: As 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:<ul><li>Design, develop, optimize, and maintain data pipelines, storage, compute components using Azure Services</li><li>Understand the Data Platforms & Services strategy, information architecture and build modern data lake to support Navistars data needs.</li><li>Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions</li><li>Lead the evaluation, implementation and deployment of emerging tools to modernize data platform</li><li>Partner with analysts and architects to develop technical architectures for data engineering projects</li></ul> Minimum Requirements: <ul><li>Bachelors degree</li><li>At least 12 years of of data engineering or analytics or statistical analysis experience</li><li>At least 2 years of experience leading cross functional teams/projects</li></ul>OR<ul><li>Masters degree</li><li>At least 8 years of of data engineering or analytics or statistical analysis experience</li><li>At least 2 years of experience leading cross functional teams/projects</li></ul>OR<ul><li>At least 14 years of of data engineering or analytics or statistical analysis experience</li><li>At least 2 years of experience leading cross functional teams/projects</li></ul> Additional Requirements: <ul><li>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)</li></ul> Desired Skills: <ul><li>6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture</li><li>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</li><li>Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.</li><li>Strong proficiency in PLSQL, Spark, PySpark, Python and Pandas</li><li>Hands on experience in Azure Data Factory, Synapse, ADLS and Event Hub</li><li>Solid experience developing and maintaining data warehouses with Big Data technologies</li><li>Experience in modernizing Hadoop, Teradata on-prem data warehouses would be a plus</li><li>Experience with DevOps tools like Azure DevOps</li><li>Exceptional communication and collaboration skills to understand business partner needs and deliver solutions</li><li>Bias for action, with ability to deliver outstanding results through task prioritization and time management</li><li>Intellectual curiosity to understand and answer questions</li><li>Intellectual humility to leverage the expertise of others</li><li>Exemplary organizational skills with attention to detail & accuracy</li></ul> Company Overview: Navistar, Inc. (Navistar) is a purpose-driven company, reimagining how to deliver what matters to create more cohesive relationships, build higher-performing teams and find solutions where others dont. Based in Lisle, Illinois, Navistar or its subsidiaries and affiliates produce International brand commercial trucks and engines, IC Bus brand school and commercial buses, all-makes OnCommand Connection advanced connectivity services, and Fleetrite, ReNEWeD and Diamond Advantage brand aftermarket parts. With a history of innovation dating back to 1831, Navistar has more than 14,500 employees worldwide and is part of TRATON SE, a global champion of the truck and transport services industry. Additional information is available at <a href="https://www.navistar.com" target="_blank" rel="noopener">www.Navistar.com</a>. Accelerating the Impact of Sustainable Mobility: Visit us at <a href="http://www.navistar.com/" target="_blank" title="" rel="noopener">www.Navistar.com</a> to discover more about our organization Navistar is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. #ridewithnavistar Job Posting: #LI-POST

Role: Data EngineerLocation: Lisle, ILJob type:- Fulltime/ContractIts a FTE Position with Large MNC (H1 transfers are welcome)Job Functions / Responsibilities Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack. Organize, validate and present large dataset of connected vehicle telematics data. Develop solutions to measure, improve, and monitor data quality based on business requirements. Design and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology.Skills :- Python, SQL, PowerBI, Snowflake, Foundry (Palantir), Plotly, MS Azure data bricks, and understand data acquisition, signal processing, NVH and Diagnostics CANby Jobble

Role: Data EngineerLocation: Lisle, ILJob type:- Fulltime/Contract It’s a FTE Position with Large MNC (H1 transfers are welcome) Job Functions / Responsibilities · Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale· Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack.· Organize, validate and present large dataset of connected vehicle telematics data. · Develop solutions to measure, improve, and monitor data quality based on business requirements.· Design and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology. Skills :- Python, SQL, PowerBI, Snowflake, Foundry (Palantir), Plotly, MS Azure data bricks, and understand data acquisition, signal processing, NVH and Diagnostics CAN

Data Engineer Jobs in Lisle, IL

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Data Engineer Jobs in Lisle, IL

Data EngineerApril 16, 2024

Lead Data EngineerApril 15, 2024

Data EngineerApril 13, 2024

Lead Data EngineerApril 6, 2024

Data EngineerApril 3, 2024

Data EngineerMarch 31, 2024

Data EngineerMarch 29, 2024