Senior Data Engineer 5
仕事内容
Take ownership of critical data pipelines to support diverse analytics and experimentation across domains.
Collaborate with stakeholders to model tables using data warehouse best practices and deliver timely, high-quality data.
Translate ambiguous business questions into clear data requirements and actionable data engineering workstreams.
Design and maintain batch and real-time pipelines using Spark, Flink, Iceberg, and Kafka, with a focus on reliability and scalability.
Mentor teammates and foster cross-functional partnerships with data scientists, product managers, and analytics engineers.
Drive data-driven value by enabling insights and adoption of Gen AI tools within the enterprise data ecosystem.
Collaborate with stakeholders to model tables using data warehouse best practices and deliver timely, high-quality data.
Translate ambiguous business questions into clear data requirements and actionable data engineering workstreams.
Design and maintain batch and real-time pipelines using Spark, Flink, Iceberg, and Kafka, with a focus on reliability and scalability.
Mentor teammates and foster cross-functional partnerships with data scientists, product managers, and analytics engineers.
Drive data-driven value by enabling insights and adoption of Gen AI tools within the enterprise data ecosystem.
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