Engineer Data (Multiple Positions) (REF291620F)
Core
Create and maintain data pipelines for test and experimental data to support data analytics, mining, and root cause analysis for vehicle dynamics and system performance.
Role type
Data Engineer (Automotive R&D)
Builds
Data pipelines, analytics tools, and data-driven solutions for development, testing, and manufacturing processes.
Domain
Automotive engineering, data science, and manufacturing analytics.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, PySpark, Scala, Azure, Databricks, machine learning algorithms, data pipeline design, root cause analysis, physics-based modeling, hydraulic systems knowledge, Tableau, Power BI, Qlik, Siemens NX, Teamcenter, MATLAB, Ansys Fluent, Abaqus
Preferred skills
Experience with large-scale data analysis, predictive maintenance, test data correlation, numerical simulations
Technologies
Azure, Databricks, PySpark, Scala, Python, Tableau, Power BI, Qlik, Siemens NX, Teamcenter, MS Project, MATLAB, Ansys Fluent, Abaqus
Responsibilities
Create and maintain optimal data pipelines for test and experimental data; Assemble and analyze large, complex datasets from different sources; Build analytics tools to provide actionable insights into development and manufacturing processes; Work with design, testing, and manufacturing engineers to support data infrastructure needs; Monitor release testing progress and implement new tracing metrics using machine learning; Identify and implement internal process improvements including automating analysis pipelines; Manipulate and extract value from large connected and disconnected datasets in experimental and production environments.
Seniority
Mid-level, hands-on IC
