Data Engineer

• Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake)
• Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
• Design scalable logical and physical data models for analytical and operational use cases
• Apply modern architecture patterns including event-driven and streaming architectures
• Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence
• Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems

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Senior Data Engineer