Senior Data Engineer, Ops Data Platform

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Operations organization is seeking an expert technology professional for the position of Senior Data Engineering to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization. As a Data Engineering Developer in our team, you will be an integral part of the team in Operations building the Quality Platform which will turn data into information leading to insights and business results.

Requirements

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.

Nice To Haves

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.

Responsibilities

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