Senior Data Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Manufacturing, SemiconductorsIndustries

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or a related field
5+ years of relevant experience
Demonstrated track record as a hands-on Data Engineer, driving the successful delivery of sophisticated data projects
Experience with cloud-based data platforms like AWS, Azure, or GCP
Strong programming skills in languages such as Python or Scala, with experience in building scalable and efficient systems
Experience with containerization technologies like Docker and orchestration tools like Kubernetes
Solid knowledge in Linux environment

Responsibilities

Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement robust reliable data pipelines, infrastructure and workflows
Develop and support data models, schemas, and database structures that provide blazing-fast analytics performance
Constantly optimize data workflows to ensure flawless real-time and batch data processing
Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage
Detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem
Control, monitor and optimize worldwide production servers
Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation
Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and standard methodologies to improve our data infrastructure
Feed a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers

Skills

Key technologies and capabilities for this role

data pipelinesdata modelingdatabase schemasdata workflowsdata quality checksmonitoringreal-time processingbatch processingscalable infrastructuredata warehousingETLDevOps

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Engineer role?

The role requires 5+ years of relevant experience and a demonstrated track record as a hands-on Data Engineer driving sophisticated data projects.

What programming languages and technical skills are needed for this position?

Strong programming skills in Python or Scala are required, along with experience in cloud platforms like AWS, Azure, or GCP, containerization with Docker, orchestration with Kubernetes, and solid knowledge in Linux.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Data Engineer position?

Candidates stand out with unwavering attention to detail in data quality, experience with frameworks like Kafka, Cloudera, Spark, Airflow or Hadoop, and the ability to thrive in multifaceted environments balancing multiple priorities.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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