Nvidia Senior Data Engineer Ops Platform 

United States, California 

161859872

What you’ll be doing:

• Implement End-to-End Quality Data platform solutions for our Datacenter products.

• Build data pipelines that are used to transport data from a data source to the data lake.

• Analyze and organize raw 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 algorithms and prototypes

• Develop analytical tools and programs

• Collaborate with data scientists and architects on projects

• Evaluate business needs and objectives to ensure the organization can access the raw data

What we need to see:

• Bachelor’s or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc)

• 8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration.

• Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments.

• You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutions

• Knowledge of data analytics/mining and segmentation techniques

• Communicate effectively with business users and translate business needs into technology solutions

• Ability to connect with all team members successfully and effectively.

• High energy with positive problem-solving attitude, and multi-task and strong organization skills.

• 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 semi-chips, boards, systems, and servers with a view of data landscape.

Ways to stand out from the crowd:

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

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

• A proven ability to work in a fast-paced environment where strong organizational skills are essential.