Senior Data Engineer - ETL & Analytics Platform

Oshkosh Corp.; Maryland; Presencial; USD 83.000 - 134.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Bash

Data analytics

Problem solving

Educación

Bachelor's degree in computer science or data science

Herramientas

Cloudera Hadoop

Hive

Spark

Kafka

NiFi

MQTT

Descripción del empleo

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