Staff Data Engineer
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The role
Own and evolve large-scale streaming and batch data platforms, providing architectural direction across the data ecosystem.
Lead end-to-end data products from ingestion to consumption, defining streaming and event-driven architectures with Spark, Flink, and Databricks.
Build high-performance pipelines in Scala and Python; optimize Spark jobs for performance, cost, and data correctness.
Ensure platform reliability through CI/CD, monitoring, data quality checks, schema evolution, and governance.
Mentor engineers, lead design reviews, and drive cross-functional collaboration with product, analytics, ML, and backend teams.
Address security, privacy, and compliance requirements while aligning with enterprise standards and SLAs.
Lead end-to-end data products from ingestion to consumption, defining streaming and event-driven architectures with Spark, Flink, and Databricks.
Build high-performance pipelines in Scala and Python; optimize Spark jobs for performance, cost, and data correctness.
Ensure platform reliability through CI/CD, monitoring, data quality checks, schema evolution, and governance.
Mentor engineers, lead design reviews, and drive cross-functional collaboration with product, analytics, ML, and backend teams.
Address security, privacy, and compliance requirements while aligning with enterprise standards and SLAs.
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