Data Engineer
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Die Stelle
Design, build, and maintain scalable, fault-tolerant data pipelines (batch and streaming) to power core business and product analytics.
Ingest data from APIs, databases, event streams, and third-party services while ensuring high data quality and reliability.
Model and manage data storage layers (data warehouses and data lakes) to support analytics and downstream use cases.
Collaborate with analytics, product, and engineering teams to deliver clean, well-documented datasets enabling self-service analytics and experimentation.
Implement monitoring, logging, alerting, and cost-efficient practices to ensure pipeline reliability and performance.
Uphold data governance, including access controls, privacy, documentation, and data lineage.
Ingest data from APIs, databases, event streams, and third-party services while ensuring high data quality and reliability.
Model and manage data storage layers (data warehouses and data lakes) to support analytics and downstream use cases.
Collaborate with analytics, product, and engineering teams to deliver clean, well-documented datasets enabling self-service analytics and experimentation.
Implement monitoring, logging, alerting, and cost-efficient practices to ensure pipeline reliability and performance.
Uphold data governance, including access controls, privacy, documentation, and data lineage.
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