Key skills
AirflowCloudETLPythonSQLELTGitVersion ControlRemote Work
About this role
Role Overview
- Design, develop, and maintain end-to-end data pipelines
- Build scalable and cost-efficient infrastructure for storing data
- Implement monitoring, alerting, and automated data quality validation systems
- Contribute to system design and data architecture evolution
- Optimize existing data pipelines and warehouse queries
- Collaborate closely with data analysts to clarify requirements
- Perform root cause analysis of data quality incidents
- Create and maintain technical documentation
Requirements
- 3+ years of experience in data pipeline development
- Expert proficiency in Python 3.7+
- Advanced SQL skills
- Deep understanding of multi-layered data warehouse architectures
- Extensive experience building ETL/ELT pipelines using Airflow 2
- Strong knowledge of object-oriented programming principles
- Professional experience with cloud-based object storage services
- Hands-on experience with cloud data warehouses
- Mandatory experience with Git for version control
- Russian language is a must.
Tech Stack
- Airflow
- Cloud
- ETL
- Python
- SQL
Benefits
- Professional development opportunities
- Remote work options