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Nvidia Senior Data Engineer 
United States, California 
909690030

Today
US, CA, Santa Clara
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

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.

  • Build data and analytic solutions forkeyinitiativestoset upmanufacturingplantsinUS.

  • Support key strategic initiatives like building scalablecross-functionaldatalakesolutions.

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 Databricks, 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

  • Knowledge of supply chain business processes for planning,procurement,shipping,andreturns


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

You will also be eligible for equity and .