Data Engineer

At NVIDIA, our employees are passionate about parallel and GPU computing. We’re united in our quest to transform the way graphics are used for work and play. Are you passionate about creating ground-breaking software for creative and innovative customer experience? Do you thrive in an extremely high-performance environment? If so, then we want you to join our Digital Marketing team. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

As a Data Engineer, you will be a member of NVIDIA’s Networking Product engineering team. You will be architecting data pipelines, responsible for end-to-end development, and building applications at scale. You use Agile methodologies to design and develop back end using our software stack to improve our analysis abilities on the Production lines. If you have a passion for innovation and driving amazing experiences based on integrating/handling large data sets, we are looking for you. You are comfortable working on complex data and distributed platforms. You are a standout colleague who knows how to work, think and learn as a team.

What You’ll Be Doing

• Architect solutions for complex data platforms, and large scale CI/CD data pipelines using a variety of technologies (REST APIs, Microsoft Azure, Azure Data explorer, Mongo Db, Log Analytics, Data-Lakes, etc.)
• Responsible for end-to-end development, starting from requirements gathering with business and engineering partners to deployment to production systems using Agile development methodology
• Analyze and improve performance, scalability, and stability of our systems, environments, and tools
• Develop analytics products, data visualization, and data solutions for internal User
  
  

• B.Sc. in computer science/software engineering/information system engineering
• 1-2 years of experience in a similar role
• Experience with OOP language such as Python, PHP, Node (or similar)
• Advanced working SQL knowledge and experience working with relational / non-relational databases, schema design, and excellent SQL troubleshooting skills working with large datasets
• Strong background on ETL development, data modeling, metadata management, and data quality
• Recommend ways to improve data reliability, efficiency, and quality for the whole data platform
• Strong analytical, problem-solving and interpersonal skills, have a hunger to learn, and the ability to operate in a fast-paced rapidly changing environment
• Great teamwork and interpersonal skills