Senior Data Engineer
@ NVIDIA

Yokneam Ilit, North District, Israel
$150,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXX XXXXXXX****** @nvidia.com
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Job Details

About the Senior Data Engineer Role

We are looking for a Senior Data Engineer to join the manufacturing data Engineering team at NVIDIA. You will help craft data collection solutions, quality control methodologies, and monitors while supporting data scale enlargement.

Key Responsibilities

  • Collaborate with cross-functional teams to build robust data pipelines and workflows.
  • Develop and support data models, schemas, and database structures for fast analytics.
  • Optimize real-time and batch data processing workflows.
  • Implement data quality checks and monitoring to ensure data integrity.
  • Control, monitor, and optimize worldwide production servers.
  • Build and maintain scalable data pipelines for efficient storage and retrieval.
  • Stay updated with data engineering technologies and introduce new tools and methodologies.
  • Mentor junior data engineers and promote a culture of learning.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5+ years of relevant hands-on data engineering experience.
  • Experience with cloud-based data platforms (AWS, Azure, GCP).
  • Strong programming skills in Python or Scala.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Solid understanding of Linux environments.

Preferred Skills

  • Experience with frameworks like Kafka, Cloudera, Spark, Airflow, or Hadoop.
  • Exceptional attention to detail ensuring high quality data delivery.

About NVIDIA

NVIDIA is widely regarded as one of the technology world’s most desirable employers, offering competitive salaries and comprehensive benefits. NVIDIA is committed to diversity and equal opportunity.

Key skills/competency

  • Data Engineering
  • Data Pipelines
  • Cloud Platforms
  • Python
  • Scala
  • Docker
  • Kubernetes
  • Linux
  • Real-time Processing
  • Data Quality
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Research NVIDIA's values: Understand their mission and innovation culture.
  • Customize your resume: Highlight data engineering projects and skills.
  • Focus on cloud experience: Emphasize AWS, Azure, or GCP expertise.
  • Showcase leadership: Provide examples of mentoring and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review cloud platform configurations and APIs.
Practice Python/Scala coding challenges.
Study Docker and Kubernetes deployment techniques.
Understand Linux system troubleshooting basics.

Behavioral Questions

Describe a time you led a technical project.
Explain handling tight deadlines under pressure.
Discuss successful team collaboration experiences.
Share how you resolve conflict within teams.

Frequently Asked Questions