Nvidia Senior Data Engineer Cloud Gaming 

United States, Texas 

901712392

What you’ll be doing:

• Optimize distributed computing infrastructure by analyzing cost and right-sizing for latency and performance.

• Identify benchmarks and establish metrics for tracking on dashboards and alerting.

• Improve and sustain a strong, expandable, dependable, live data processing service.

• Develop reusable framework deployments for data ingestion, processing, and analysis.

• Build data systems and pipelines, ensuring that data sources, ingestion components, transformation functions, and destinations are well understood for implementation.

• Prepare data for prescriptive and predictive modeling by ensuring the data is complete, cleansed, and has necessary rules in place.

• Train data engineers, data scientists, and production engineers on adopting data processing workflows.

What we need to see:

• Master's or Bachelor's degree in Computer Science, Electrical Engineering, or CE, or equivalent experience.

• Minimum of 5 years of work experience in similar domain.

• Built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL, or other technologies, and knowledgeable in Databricks, Splunk, or Snowflake solutions.

• Strong coding skills, including the ability to write readable, testable, maintainable, and extensible code (primarily Python).

• Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices.

• Hands-on experience in performancetuning/troubleshootingspark applications.

• Familiarity with metrics collection, health monitoring, and observability tools.

• Strong experience in data cleaning, aggregation, transformation, and extraction.

• Experience in active ML production pipelines is a plus (MLflow, Kubeflow).

Ways to stand out from the crowd:

• Strong ability to drive continuous improvement of systems and processes.

• Prior data processing at scale on NVIDIA GPUs.

• Proven ability to work in a fast-paced environment where strong organizational skills are essential.

• Expertise in optimizing Spark applications and micro services for enhanced performance and scalability.