Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines and automation systems supporting cloud
• Develop robust datasets and data models enabling cloud cost visibility, attribution, usage
• Design and implement ingestion frameworks for large-scale telemetry and cloud usage data.
• Build data tooling for Product, Engineering, and Finance stakeholders to make cost-aware decisions.
• Optimize data systems for performance, reliability, scalability, and cost efficiency through query
• Partner with Engineering and Finance to support cloud cost optimization initiatives and usage-based

🎯 Requirements

• Strong foundation in data engineering with end-to-end ETL/ELT pipelines in cloud environments.
• Strong proficiency in SQL and Python; Scala is a plus.
• Hands-on experience with orchestration/transformation tools such as dbt, Airflow, or Dagster.
• Practical experience with AWS data ecosystem (Glue, Athena, Aurora).
• Experience with Snowflake or other modern cloud data warehouses.
• Strong data modeling and large-scale data processing capabilities.

🎁 Benefits

• Competitive long-term total compensation package, including salary and performance-based bonus.
• Remote-first working environment with emphasis on flexibility.
• Opportunities to work with experienced engineers and technology leaders.
• Access to technical and non-technical training and development programs.
• Continuous learning and career growth opportunities.
• Global collaboration with international teams and clients.