
Data Engineer (Finance Department)
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Build and maintain ETL/ELT pipelines for data extraction, transformation, and loading.
- Automate data workflows using Apache Airflow DAGs.
- Ensure efficient data modeling, transformation, and optimization for analytics.
- Work with SQL, Python, and visualization tools (Looker, QlikSense, PowerBI) to support business insights.
- Ability to breakdown complex processes and optimize where possible as well us solution design.
- Ability to read and make sense of data and perform analysis on trends.
- Manage and maintain servers, cloud environments (AWS/GCP/Azure), and containerized applications.
- Deploy and optimize Dockerized applications for data processing.
- Own the setup, monitoring, and scaling of Apache Airflow instances.
- Ensure high availability, security, and performance of data infrastructure.
- Load and manage applications on Docker and Airflow.
- Collaborate with data analysts to ensure data accessibility and reliability.
- Troubleshoot infrastructure and pipeline issues, optimizing performance.