Data Engineer
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Die Stelle
Design, build, and maintain scalable, fault-tolerant data pipelines (batch and streaming) for core business and product data.
Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability.
Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases.
Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation.
Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.
Enforce data governance best practices, including access control, privacy, documentation, and data lineage.
Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability.
Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases.
Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation.
Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.
Enforce data governance best practices, including access control, privacy, documentation, and data lineage.
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