Data Engineer Sr

Oshkosh•Oshkosh, WI

About The Position

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. As a key member in the Advanced Analytics team, the Data Engineer 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.

Requirements

Bachelor’s degree in computer science, data science or a related field with four (4) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
3-5 years of prior experience in a Data Engineering or Analytics organization in a technical role
2+ years of software development experience (Python/Go preferred).
3+ years of major cloud provider experience (AWS/Azure/GCP).
Strong proficiency with SQL, Bash, and Python (and experience with the Anaconda distribution).

Nice To Haves

2+ years experience operating in Unix/Linux and Windows server environments.
2+ years operating in an Agile / Scrum environment
Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)
Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
Familiarity with Change Data Capture solutions (Qlik Replicate, Striim, Debeezium, etc.).
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.

Responsibilities

Design and develop scalable Change Data Capture (CDC) and ETL solutions to deliver data from source systems to analytics platforms (structured and unstructured; batch and streaming).
Use tools such as Terraform, Spark, Databricks, Snowflake, Git, and Azure infrastructure management (ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts, and others).
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.
Follow the directors of the supervisory very 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.