Data Analytics Engineer

Love gaming? Love data? Join us. NVIDIA is looking to hire a Data Analytics Engineer to work with decision-makers in the fast-growing Gaming quantitative analytics organization. The ideal candidate for this role is highly motivated, loves gaming, and relishes working on big-data scale problems to help grow and improve gamer experience and business strategy.

At NVIDIA, we work, think, and learn as a team. We thrive in a deeply inspiring environment and we're motivated by a culture that demands innovation and the highest standards. We get an opportunity to collaborate with some of the smartest people in the industry and work on products that transform the way people work and play. We are also well positioned as the 'AI Computing Company', and our GPUs are the brains powering gaming experiences, Deep Learning software frameworks, accelerated analytics, big data, modern data centers, and driving autonomous vehicles. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance, and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people like you to join us in the quest for unique and pioneering opportunities.

What you will be doing:
• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support key business decisions.
• Develop and maintain big data pipelines and ETL along with different algorithms using Python and Unix Shell scripting to support business data needs.
• Web scraping to extract data from Webpage using Parsers (HTML Parser, JSON Parser, XML Parser, etc.) into structured data formats.
• Work with various teams to support ad hoc data usage, improve high-volume data infrastructure by automating data processing rules, and troubleshoot data issues.
• Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems.
• Identification & Implementation of cutting-edge analytical tools, models, and methods for making key business decisions.