Senior Data Engineer

Key Skills

Aartificial intelligence, Amazon RedShift, Apache Hadoop, Apache Kafka, AWS, Big Data Technology, Business Intelligence, Data Engineering, Data Lake, Data pipelines, GPUs, NoSQL, Operations, PySpark, Python Programming, Scala Programming, SPARK Programming, SQL

Job Description

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.

We are now looking for a Senior Data Engineer to become a member of the Data Platform Team to work on a multi-cluster multi-cloud Business Intelligence pipelines deeply integrated with the internal Data Lake of about 8PB in size. Join us to support this development!

What you will be doing:

• Develop and maintain automated real-time and batch data pipelines;

• Build automation around various data services;

• Contribute into a Data Profiling and Anomaly detection tools development;

• Work closely with Engineering Teams on their software and deploy requirements;

• Drive innovation into Data Platform architecture and software stack.

What we need to see:

• A Bachelor’s degree in Computer Science, Engineering, or a related field;

• 5+ years of data engineering experience;

• Strong Python programming skills;

• Understanding of the operations of relational DBMS and distributed systems;

• Proficiency in big data tools (e.g., Hadoop, Spark, Kafka) and data pipeline/workflow management tools;

• Solid SQL knowledge;

• Fluent English.

Ways to stand out from the crowd:

• Knowledge of columnar and NoSQL databases;

• Experience with cloud services like AWS (EC2, EMR, RDS, Redshift);

• PySpark/Scala Spark Experience and ability to build solutions with it;

• Clickhouse knowledge.

• Proficiency in working with GPU-accelerated databases (e.g., HeavyDB, Kinetica);

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people on the planet working for us and, due to unprecedented growth, our elite engineering teams are growing fast. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.