NVIDIA

Senior Data Engineer

Santa Clara, CA US
AWS Azure SQL Python Java Streaming API
Description

The NVIDIA Operations organization is seeking an experienced technology professional for the position of Senior Data Engineer to support initiatives for Operations. As a Data Engineer on our team, you will be an integral part of the Data and Advanced Analytics organization in Operations that is building the Operations Data Platform to turn data into business insights and results.

What you'll be doing:

  • Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services, and Sourcing initiatives

  • Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases

  • Build data pipelines to transport data from a data source to the data lake

  • Analyze and organize raw operational data including structured and unstructured data

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

  • Interpret trends and patterns by performing complex data analysis

  • Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place

  • Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions

What we need to see:

  • Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

  • 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

  • Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

  • Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

  • Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

  • Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies

  • Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy

  • Knowledge in operational processes in chips, boards, systems, and servers with a view of data landscape

Ways to stand out from the crowd:

  • Self-starter, positive mindset with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.

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

  • A consistent record to work in a fast-paced environment where good interpersonal skills are essential

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.

The base salary range is 164,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA
NVIDIA
Artificial Intelligence (AI) GPU Hardware Software Virtual Reality

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