Data Engineer with Nvidia

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);