Data Engineer

JLG Industries; Maryland; In loco; USD 83.000 - 134.000; Tempo pieno

Descrizione del lavoro

Oshkosh Corporation's JLG division in Frederick, Maryland seeks a Data Engineer to join the Advanced Data Analytics team. You will design scalable ETL pipelines, process structured and unstructured data, and collaborate with engineering and service teams to enable data-driven decisions for off-road vehicles and equipment.

The role requires a BS in CS or data science with 3+ years of data engineering experience and proficiency in Hadoop, Hive, Spark, Kafka, and NiFi, plus strong SQL, Python and

Competenze

• Bachelor’s degree in computer science, data science or related field with 3+ years as a data engineer.
• Experience with big data tools and architectures such as Cloudera Hadoop, HDFS, Hive, Spark.
• Working knowledge of streaming interfaces and platforms (MQTT, NiFi, Kafka).
• Strong SQL, Bash and Python with experience using Anaconda distribution.

Mansioni

• Design and develop scalable ETL solutions to move data from source systems to analytics platforms.
• Test and validate data transformations to ensure accuracy for enterprise analytics.
• Assist with data governance and security across data lake and data warehouse systems.
• Collaborate across disciplines, provide rapid prototyping, and document reference architectures.

Conoscenze

SQL

Python

Bash

Data analytics

Problem solving

Formazione

Bachelor's degree in computer science or data science

Strumenti

Cloudera Hadoop

Hive

Spark

Kafka

NiFi

MQTT

Descrizione del lavoro

## Data EngineerApply: Frederick, Maryland, United States: Hagerstown, Maryland, United States: Full time: Posted Yesterday: R51538**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 Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products. Advanced Data Analytics wok 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; bath 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 education 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.**MINIMUM QUALIFICATIONS:*** Bachelor’s degree in computer science, data science or a related field with three (3) 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.* 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).**Pay Range:**$82,900.00 - $134,300.00The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.