Senior Data Engineer

📋 Description

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

🎯 Requirements

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

🎁 Benefits

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