About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.

JOB SUMMARY:

As a key member in the Data Science team, the Data Engineer will work with a cross functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products. Advanced Data Analytics work encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

These duties are not meant to be all-inclusive and other duties may be assigned.

• Design and develop scalable ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).

• Responsible for testing and validation in order to support the accuracy of data transformations and data verification used with enterprise-wide analytics.

• Assist in ensuring proper data governance (quality, security, etc.) within the data lake and enterprise data warehouse systems across all business segments.

• Assist with performance-tuning data processes as well as troubleshooting data processing issues.

• Collaborate, coordinate, and communicate across disciplines, departments and segments.

• Develop rapid prototyping and design processes for fast solution delivery to the business.

• Maintain reference architecture and documentation for the purposes of architectural governance and application roadmap.

• Assist in educating others on best practices surrounding data work (i.e. data modeling, database design, ETL design, job scheduling and monitoring, etc.).

• Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.

• Follow the directions efficiently and provide feedback on the technical hurdles and progresses with clarity and assess the priorities based on business needs.

• Complete the tasks under the guidance on mutually agreed schedule between the candidate and the supervisor/program manager with minimum mentoring.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.

PREFERRED QUALIFICATIONS:

• Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.

• Experience with Azure Dev Ops

• Experience with Azure cloud services, Databricks, Synapse or similar technologies

• Experience with developing highly responsive data structures, metadata capture strategies, ontologies, and data dictionaries.

• Experience with Git (version control)

• Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc.).

• Automotive or heavy duty on or off-road vehicle, digital data bus, including Ethernet or Controller Area Network (CAN) experience.

• Highly organized and detail-oriented, with strong critical thinking, analytical, and problem-solving skills.

• Ability to handle multiple tasks in a fast-paced environment, both independently and as part of a team.

• Display excellent interpersonal skills as well as the ability to effectively present information and respond to question from leadership and peers.

• Strong proficiency with SQL, Bash, and Python (and experience with the Anaconda distribution).

#LI-AG1

Oshkosh is committed to working with and offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability for any part of the recruitment process, please contact our reception desk by phone at +1 (920) 502.3009 or our talent acquisition team by email corporatetalentacquisition@oshkoshcorp.com .

Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.