Position Details
About this role
NVIDIA seeks a Senior Data Engineer to develop and optimize analytics-ready data platforms for datacenter observability and reliability. The role involves transforming large telemetry datasets into actionable insights.
Key Responsibilities
- Design and maintain data pipelines
- Develop ingestion pipelines for metrics and logs
- Model and organize data for analysis
- Build batch and streaming workflows
- Collaborate with data scientists and analysts
Technical Overview
The role involves designing data pipelines using Python, SQL, and Spark, integrating telemetry data from large-scale CPU and GPU clusters, and supporting analytics and forecasting with scalable workflows.
Ideal Candidate
The ideal candidate is a mid-level data engineer with strong experience in building large-scale data pipelines, proficient in Python and SQL, and familiar with telemetry and observability data. They should have a solid understanding of data modeling and transformation for analytics and forecasting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Spark or Python, No experience with telemetry data, No data pipeline experience, Less than 10 years of experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile