Senior Data Engineer

📋 Description

• Design, develop, maintain scalable Zero-ETL data pipelines for analytics.
• Build and optimize data models and analytical workloads in Redshift.
• Develop and manage Airflow workflows for reliable data processing.
• Integrate data from multiple sources while ensuring consistency and availability.
• Maintain high data quality, accuracy, and platform availability.
• Monitor, troubleshoot, and resolve data platform issues with root-cause analysis.

🎯 Requirements

• 5+ years in Data Engineering or related field.
• Strong expertise in SQL and relational databases.
• Hands-on with AWS data services, Redshift and RDS.
• Proven experience with Airflow workflows.
• Strong understanding of ETL concepts and scalable data processing.
• Experience designing scalable data warehouse architectures and analytical models.

🎁 Benefits

• Remote-first environment with flexible distributed collaboration.
• Competitive salary with performance-based bonuses.
• 28 days paid annual leave.
• Flexible working hours with core hours 10:00-15:00 in local TZ.
• Performance incentives and referral bonuses.
• Premium equipment for remote setup.