We are seeking a seasoned Data Warehouse Engineer with deep expertise in AWS-based analytics infrastructure. In this role, you will design, build, and optimize a robust data platform that supports critical business insights and scalable operations.

You’ll take full ownership of our analytics stack—working daily with Amazon Redshift for advanced data modeling and performance tuning, orchestrating ETL/ELT workflows using Apache Airflow, and building clear, actionable dashboards in Amazon QuickSight. You'll also work with DynamoDB, EventBridge, and S3 for auxiliary data flows and event-driven triggers.

Key Responsibilities

• Architect and maintain a cloud-native data warehouse infrastructure on AWS
• Design and implement efficient and scalable data models in Amazon Redshift
• Build and monitor Airflow DAGs for reliable and automated ETL/ELT workflows
• Develop dashboards and visualizations in Amazon QuickSight for key business metrics
• Integrate AWS services like DynamoDB, S3, and EventBridge to support real-time and batch data flows
• Collaborate with cross-functional teams to define data requirements and ensure data availability
• Monitor system performance and cost, continuously optimizing for efficiency
• Ensure high standards of data quality, security, and operational reliability

• 4+ years of experience working in cloud-based DWH environments (AWS preferred)
• Expert-level proficiency in SQL and Python
• Hands-on experience with Amazon Redshift, Apache Airflow, Amazon QuickSight, S3, DynamoDB, and EventBridge
• Deep understanding of data modeling, data warehousing principles, and performance optimization
• Familiarity with CI/CD pipelines and infrastructure as code practices
• Proactive mindset with a focus on data integrity, cost control, and resilient operations
• Excellent communication skills and a collaborative, ownership-driven attitude