Nvidia Senior Analytics Data Engineer 

United States, California 

859622306

What you'll be doing:

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

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

• Analyze and organize raw operational data including structured and unstructured data. Implement data validation checks to track and improve data completeness and data integrity.

• Build data systems and data pipelines to transport data from a data source to the data lake ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation.

• Prepare data for AI/ML/LLM models 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 for key initiatives to set up manufacturing plants in US.

• Support key strategic initiatives like building scalable cross-functional datalake solutions.

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 of supply chain business processes for planning, procurement, shipping, and returns of chips, boards, systems, and networking.

Ways to stand out from the crowd:

• Self-starter, collaborative, positive mindset, committed to growth with integrity and accountability, highly motivated, driven, and high-reaching

• 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 crucial