Data Engineer II
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The role
As a Data Engineer II, you will own the design, implementation, and maintenance of production-grade data workflows across batch and streaming pipelines.
Build and operate pipelines across Snowflake, AWS, and Kafka, ensuring data accuracy, timeliness, and reliability.
Develop dbt Cloud models to standardize metrics, enforce tests, and improve data lineage.
Integrate data from multiple sources (Kafka, APIs, S3, and internal systems) into unified datasets.
Implement monitoring, data quality checks, and alerting to uphold data freshness and governance.
Collaborate with analysts, data scientists, and product stakeholders to translate requirements into scalable, cost-efficient solutions and contribute to AI-driven modernization efforts.
Build and operate pipelines across Snowflake, AWS, and Kafka, ensuring data accuracy, timeliness, and reliability.
Develop dbt Cloud models to standardize metrics, enforce tests, and improve data lineage.
Integrate data from multiple sources (Kafka, APIs, S3, and internal systems) into unified datasets.
Implement monitoring, data quality checks, and alerting to uphold data freshness and governance.
Collaborate with analysts, data scientists, and product stakeholders to translate requirements into scalable, cost-efficient solutions and contribute to AI-driven modernization efforts.
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