Position Details
About this role
NVIDIA seeks a senior data engineer to develop and optimize analytics platforms for datacenter observability, reliability, and capacity forecasting. The role involves transforming large telemetry datasets into actionable insights.
Key Responsibilities
- Build data pipelines
- Develop ingestion pipelines
- Model and organize data
- Build batch and streaming workflows
- Collaborate with data scientists
Technical Overview
The role involves designing data pipelines using Python, SQL, and Spark, integrating telemetry data from CPU and GPU clusters, and supporting analytics with scalable workflows and data quality measures.
Ideal Candidate
The ideal candidate is a senior data engineer with over 10 years of experience in building large-scale data pipelines, proficient in Python and SQL, with expertise in telemetry and observability data, and capable of supporting analytics and capacity forecasting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of experience, No experience with distributed data processing, Lack of telemetry data experience, No data modeling or pipeline experience
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