Senior Data Engineer

📋 Description

• Design, build, and maintain scalable Zero-ETL data pipelines.
• Develop data models and analytics in Amazon Redshift.
• Manage workflow orchestration with Apache Airflow.
• Integrate data from multiple sources with reliability.
• Maintain data quality, accuracy, and platform availability.
• Monitor and resolve data platform issues with root-cause analysis.

🎯 Requirements

• 5+ years of experience in Data Engineering or related field.
• Strong SQL and relational DB skills.
• Hands-on AWS data services, especially Redshift and RDS.
• Experience with Airflow workflows and ETL concepts.
• Knowledge of scalable data processing and data warehouse design.
• Excellent communication and stakeholder management.

🎁 Benefits

• Remote-first environment with flexible collaboration.
• Competitive compensation with performance bonuses.
• 28 days of paid leave and flexible working hours.
• Performance incentives and premium equipment for remote work.
• Annual company retreats and sustainability focus.