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.
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