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Software Engineer, Big Data Workflow Platform

Pinterest, Palo Alto or San Francisco

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We’re looking for Big data workflow/orchestration  platform engineers (across levels) to help us build and lead the next generation of ETL orchestration platform at Pinterest. You’ll be working on some of the most exciting big data open source technologies (Airflow, Hadoop, Hive, Spark, Presto, , etc.), at the scale of hundreds of petabytes of data to help Pinners discover and do what they love. 

What you’ll do:

  • Improve and customize the internals of open source big data technologies to meet our challenges at scale
  • Build and scale workflow orchestration platforms using the latest open-source technologies to process petabytes-scale datasets
  • Build and scale systems that orchestrate and execute complex workflows in big-data pipelines
  • Provide reliable, performant  workflow engines as services to enable ETL, big data analytics and actionable insights
  • Contribute to the team’s technical vision and long-term roadmap

What we’re looking for:

  • Experience with large scale distributed framework 
  • Experience with big data workflow orchestration engines for ETL jobs, such as Airflow, Oozie, Azkaban, etc.
  • Knowledge of container and orchestration frameworks such as Docker and Kubernetes
  • Experiences in one or more open-source Big Data technologies ( Airflow, Hadoop, YARN, Spark, Hive, Presto, SQL, Kafka, Impala,  Parquet, HDFS, etc.)
  • Proficiency in one or more programming languages (Python, Java, Scala)

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About Pinterest

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