About this role
About the role
We are looking for a Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency. The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making.
What you will do
- Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
- Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
- Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
- Develop tooling