NVIDIA Diag Team is now seeking an extraordinary Data Engineer to build up a data platform enabling advanced and intelligent log data analysis to assist engineers in solving GPU server manufacturing challenges. We aim at delivering a platform to streamline the server manufacturing process. As a data engineer, you will partner with Data Scientists, engineers, and key stakeholders to design and implement the data architecture turning data into insights for opportunities of optimization and efficiency in the server manufacturing process.

What you’ll be doing:

Build up robust, flexible, idempotent ELT data pipelines

Ensure the data integrity and keep queries performant per database’s indexing, partitioning, clustering, caching characteristics

Adopt best practices to secure data access internally and externally and identify potential security leaks with proposed solutions

Maintain and operate performant reporting system and interactive analytical dashboard given different business requirement

Solve data-related bugs in a timely manner

Enable the architecture and the use of off-the-shelf technologies for rolling update with minimal downtime

What we need to see:

BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent) with 5+ years of meaningful work experience

Skillful in SQL and relational databases systems

Demonstrable production experience in custom ELT design, implementation, maintenance, and performance tuning

Familiar with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, and etc)

Extensive experience in Data Modeling for different database systems

Solid hand-on experience in tuning database systems read/write performances

Familiar with NoSQL technologies and Linux development environment

We expect to see excellent communication skills, ability to document and present the current status and final project deliveries

Intermediate/upper-intermediate oral and written technical English

Skills of working in an internationally distributed team

Self-motivated, engaged, eager for self-education

Ways to stand out from the crowd:

Experience with interactive analytical BI tools

Background with search/index systems

We appreciate additional programming skills in R, Java, or C/C++

Experience with notebook-based Data Science workflow

Background with anomaly/outlier detection

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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