Data Engineering Scientist
Core
Build and optimize data pipelines to feed ML-Ops systems for industrial AI applications, handling OT, sensor, video, and audio data streams.
Role type
Senior IC Data Engineering Scientist
Builds
Production data pipelines and ML-Ops infrastructure for engineering and manufacturing clients
Domain
Industrial IoT (IIoT), Operational Technology (OT), Manufacturing AI
Deliverable
production ML models
Required skills
Data engineering, Data mining, Statistical modelling, Time-series data processing, Cloud hosting solutions, Scripting (Python, SQL, PowerShell), NoSQL databases, Geo-spatial data integration
Preferred skills
Industrial sensor data experience, Video processing, Audio data processing, Data visualization, Data storytelling
Technologies
Aveva PI AF/EF, Insights Hub, Azure IoT, AWS IIoT/Sitewise, Esri ArcGIS
Responsibilities
Collaborate with data scientists to create data pipelines; Ensure proper data engineering with agile validation and merging; Define data quality metrics; Check data cleanliness and identify biases; Experiment and optimize data pipelines; Leverage data mining to uncover patterns; Augment datasets algorithmically or via third-party sources; Enhance data collection procedures; Interact with data engineering specialists for 24/7 data integrity; Present data mining results; Collaborate with ML-Ops teams on model performance tracking; Integrate time-series data into geo-spatial tools.
Seniority
Senior, hands-on IC
