Senior Ads Data Engineer

Pinterest, San Francisco

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Pinterest is one of the fastest growing online advertising platforms, and our continued success depends on our ability to generate reliable, accurate, real-time data to advertisers, business analysts, and Ads Serving systems, and empower these internal/external use cases to make critical decisions. We’re looking for a seasoned technical leader in Real-Time Data Warehouse and Data Engineering to guide the team to build the next-generation Ads Data system that will operate at 100x our current scale within a fraction of our current latency. You’ll join a small and early-stage team, build a new Data system from scratch, grow the team, and lay the foundation for Pinterest’s business success.


What you’ll do:

  • Build the next-generation real-time, scalable, fault-tolerant ads reporting and analytics system that processes terabytes of data with minute-scale pipeline delay to deliver key performance metrics to advertisers with millisecond-scale query latency
  • Build real-time Ads Data Warehouse and online data systems to power numerous Ads Serving, Machine Learning, and internal business analytics use cases
  • Architect the data systems using the latest open-source technologies and Data Warehousing concepts
  • Grow the team and provide technical vision and long-term roadmap to the Ads Data team
  • Provide thought leadership to the entire Ads Engineering organization on how data can be processed more efficiently, scalably, reliably, and quickly


What we’re looking for:

  • 5+ years of experience with Data Warehouse and open-source Big Data technologies
  • Experience building real-time or offline Data pipelines to process petabytes of data for business-critical use cases
  • Experience building large-scale distributed online Analytics system to support high volume and low latency
  • Experience with Spark, Hive, Hadoop, SQL, Kafka, Parquet, HDFS, or HBase
  • Proficiency in multiple systems languages (Java, C++, Go)

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