Principal Big Data Engineer (Contract Role)

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Stack

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Beschreibung

Key Responsibilities Lead the architecture and development of scalable data warehouses and batch and real-time data pipelines (e.g. Flink-based streaming and Hive/HDFS-based batch processing). Own the end-to-end design and operation of a big data development platform, including multi-cluster resource management (e.g. YARN), access and permission controls, audit trails and unified authentication. Build and maintain real-time user-facing data services, such as transaction, billing and profit-and-loss analytics, with strict accuracy, latency and availability targets. Design reliable data ingestion and collection systems for external data sources, including primary/backup links, heartbeat monitoring, quota monitoring and fallback strategies. Define data models, tagging systems and feature datasets that support user segmentation, analytics and personalisation. Establish standards for data quality, observability, monitoring and governance, including unified monitoring dashboards and alerting. Plan and run fault drills and joint performance and stress tests to find bottlenecks, reduce operational risk and prepare the platform for peak-traffic events. Improve processing performance, resource efficiency and platform stability, and make sound scaling decisions. Provide technical guidance, conduct design and code reviews, and mentor engineers. Collaborate with business, product and engineering teams to translate requirements into dependable data solutions. Job Requirements Essential Bac

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