Senior Data Warehouse Engineer

📋 Description

• Architect, build, and maintain scalable, high-performance data warehouse solutions that support
• Develop reliable, well-documented data pipelines and ELT processes while maintaining strong
• Optimize data warehouse performance through query optimization, partitioning, indexing, and other
• Partner with data analysts and data scientists to transform raw data into actionable analytics and
• Monitor, troubleshoot, and continuously improve data warehouse infrastructure while balancing
• Establish and promote best practices for clean, well-structured, reliable, and accessible data.

🎯 Requirements

• Extensive professional experience designing, implementing, and optimizing data warehouses in cloud
• Strong hands-on expertise with data modeling and transformation tools, particularly dbt.
• Excellent SQL skills and experience with modern columnar or cloud data warehouse technologies such
• Experience developing and managing data pipelines using orchestration tools such as Prefect or
• Solid understanding of data engineering principles, warehouse architecture, transformation, and
• Strong software engineering fundamentals, including version control, code reviews, testing

🎁 Benefits

• Fully remote work arrangement within eligible hiring locations.
• Opportunity to work on large-scale data infrastructure supporting a technology platform focused on
• Exposure to a modern technology stack including ClickHouse, Redshift, Confluent Kafka, dbt
• Opportunity to collaborate with data scientists, analysts, engineers, and globally distributed
• High level of ownership and autonomy in a data engineering environment.
• Opportunity to contribute to developer-facing tools and scalable data platform initiatives.