Tech Stack

Description

You will design, build, and maintain scalable data pipelines and infrastructure at Nebius, a leading AI cloud computing company. You'll optimize data storage, processing, and query performance, implement data quality monitoring, and develop tools to improve data engineering workflows. This role enables data-driven decision making across the organization.

Requirements

• 3+ years experience in data engineering or related roles
• Experience with orchestration tools (Airflow, Prefect, Dagster)
• Strong SQL and Python skills
• Experience with distributed data processing frameworks (Apache Spark)
• Knowledge of data modeling principles and data architectures

Responsibilities

• Design, develop, and maintain scalable data pipelines
• Build and optimize data infrastructure and storage
• Implement data quality monitoring and validation frameworks
• Design data models for analytics and reporting
• Develop tools to automate data engineering workflows