Poshmark

Poshmark

Sr. Software Engineer, Data Engineering

Redwood City, California, USA · Senior

Sponsorship not specifiedDetected 197 days ago
PythonJavaC++ScalaData StructuresAlgorithmsSQLPostgreSQLRedshiftAWSPlatform EngineeringKafkaSparkAirflowData EngineeringData ScienceProduct ManagementProduct StrategyEHR/EMRProblem SolvingHadoop

About the role

  • ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
  • Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
  • The Big Data team is a central player in the Poshmark organization.

Responsibilities

  • Build highly scalable, available, fault-tolerant data processing systems using AWS technologies, MapReduce, Hive, Kafka, Spark, Flink and other big data technologies to handle batch and real-time data processing over 10s of terabytes of data ingested every day and a petabyte-sized data warehouse.
  • Participate in architecture discussions, influence product roadmap, build best practices, take ownership and responsibility over new projects.
  • Create WBS (Work breakdown structure) for projects and execute them, taking full ownership, with minimal guidance.
  • Expertise in architecting and building large-scale data processing systems using Big Data technologies like Hadoop, Hbase, Spark, Kafka, Druid, Flink, DataLake, Redshift etc.

Skills

  • 3+ years of relevant software engineering experience.
  • 2+ year of Data Engineering experience.
  • Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
  • Eagerness to try out newer technologies and adopt them as and when needed.
  • Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.
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This listing is sourced directly from Poshmark's careers page and normalized into a canonical job model.