Staff Data Engineer
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The role
As a Staff Data Engineer for the Core Data and Ingestion team, you will architect and develop data ingestion, data lake, data warehouse, and data marts to enable data-driven decision-making across the organization.
Collaborate with business analysts to identify data needs, define core KPIs, and drive data quality by guiding data producers to log key attributes.
Define foundational data models across domains such as search, finance, advertising, and logistics, and design the organization's next-generation data lake and data warehouse.
Build reliable data pipelines using Spark, PySpark, Scala, Hive, and Iceberg to scale multi-terabyte data volumes with fault tolerance.
Lead and mentor teams, promoting best practices in data architecture, data modeling, MDM, and distributed computing.
Work across business domains to translate needs into data products, dashboards, and metrics that drive business growth.
Collaborate with business analysts to identify data needs, define core KPIs, and drive data quality by guiding data producers to log key attributes.
Define foundational data models across domains such as search, finance, advertising, and logistics, and design the organization's next-generation data lake and data warehouse.
Build reliable data pipelines using Spark, PySpark, Scala, Hive, and Iceberg to scale multi-terabyte data volumes with fault tolerance.
Lead and mentor teams, promoting best practices in data architecture, data modeling, MDM, and distributed computing.
Work across business domains to translate needs into data products, dashboards, and metrics that drive business growth.
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