Data Engineer
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The role
Design, build, and maintain scalable, fault-tolerant data pipelines (batch and streaming) for core business and product data.
Ingest data from diverse sources — APIs, databases, event streams, and third-party services — ensuring data quality and reliability.
Model and organize data storage (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 for self-serve analytics and experiments.
Implement monitoring, logging, alerting, and cost-aware practices to ensure pipeline reliability and performance.
Enforce data governance, including access control, privacy, data lineage, and comprehensive documentation.
Ingest data from diverse sources — APIs, databases, event streams, and third-party services — ensuring data quality and reliability.
Model and organize data storage (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 for self-serve analytics and experiments.
Implement monitoring, logging, alerting, and cost-aware practices to ensure pipeline reliability and performance.
Enforce data governance, including access control, privacy, data lineage, and comprehensive documentation.
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