Data Platform Engineer
Core
Develop and maintain an in-house data ingestion and analytics platform for a deep-tech semiconductor startup, supporting R&D and production phases.
Role type
Data Platform Engineer
Builds
In-house data ingestion pipelines, S3 data lake infrastructure, and analytics/ML tools for semiconductor process tracking.
Domain
Semiconductor industry, deep-tech, data engineering, and scientific data analysis.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, S3 object storage management, ETL design, data validation workflows, schema validation, data cleaning and wrangling, cloud compute configuration.
Preferred skills
Machine learning tools (scikit-learn), visualization libraries (Matplotlib, Seaborn, Plotly), CI/CD tooling, laboratory workflow experience.
Technologies
Python, S3, JSON Schema, scikit-learn, Matplotlib, Seaborn, Plotly, CI/CD.
Responsibilities
Develop custom UI and data tools for data producers; manage S3 data lake architecture and IAM; perform exploratory data analysis and statistical reporting; monitor and debug ingestion failures; document SOP onboarding processes and data validation rules.
Seniority
Mid-level, hands-on IC