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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Last updated: 23 hours ago
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