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Senior Data Engineer - Data Foundations (m/w/x)
Building and maintaining a new data platform on AWS and GCP, migrating terabytes of data nightly. Substantial data and software engineering experience required. Daily syncs, custom tooling development, and CI/CD focus.
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Anforderungen
- Substantial, hands-on Data Engineering experience
- Substantial, hands-on Software Engineering experience
- Experience with high-volume, business-critical pipelines
- Experience maintaining modern data platforms
- Experience building modern data platforms
- Acting as multiplier for engineering teams
- Deep, practical experience with Dagster
- Deep, practical experience with dbt
- Deep, practical experience with Google BigQuery (GBQ)
- Deep, practical experience with AWS (ECS)
- Strong software engineering fundamentals
- Applied CI/CD to data engineering
- Applied testing to data engineering
- Applied best practices to data engineering
- Applied design patterns to data engineering
- Expert-level SQL skills
- Expert-level Python skills
- Knowledge of infrastructure setups
- Knowledge of docker
- Knowledge of terraform/cloudformation
- Pragmatic approach to data engineering best practices
- Ability to know when to implement best practices
- Ability to know when to ship
- Ego-less collaboration
- High energy
- Clarity in discussions
- Team-first mindset
- Strong communication skills
- Ability to grasp complex processes easily
- Clear communication with diverse stakeholders
- Business fluent English
Aufgaben
- Build, maintain, and drive the transition to the new Data Platform (Dagster, dbt, AWS ECS, GCP GBQ)
- Develop custom tooling, monitoring, data-checks, connectors, cost control, testing, CI/CD, and cataloging to improve data team efficiency
- Maintain and optimize core ELT pipelines
- Move terabytes of data from AWS MySQL to GCP GBQ nightly and via daytime syncs, ensuring no impact on source system performance
- Own and deliver critical reports for executive decisions and departmental use
Berufserfahrung
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