Big Data Platform Engineer

Roku • Java • Kotlin • Scala • 1 month ago
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Salary
≈ $34k – $82k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
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Roku

This is the jump-off point to learn about working at Roku, including our employees, the Roku culture, our office locations around the world, and student internship opportunities. Roku, jobs, careers, internship, streaming, TV, engineering.
weareroku.com • HQ: San Jose, United States • Televisions • Media & Entertainment • Streaming & OTT Platforms • Est. 2002

Responsibilities:

  • You will be responsible for streamlining and tuning existing Big Data systems and pipelines, and building new ones.
  • Ensuring the systems run efficiently and at minimal cost is a top priority.
  • You will be making changes to the underlying systems, and if an opportunity arises, you can contribute your work back into the open source.
  • You will also be responsible for supporting internal customers and on-call services for the systems we host.
  • Ensuring we provide a stable environment and a great user experience is another top priority for the team.

Requirements:

  • 10+ years of production experience building big data platforms based on Spark, Trino, or equivalent.
  • Strong programming expertise in Java, Scala, Kotlin, or another JVM language.
  • A robust grasp of distributed systems concepts, algorithms, and data structures.
  • Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, etc.
  • Experience working with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Trino, Flink, Airflow, Druid, Hive, Iceberg, Delta Lake, Pinot, Storm, etc.
  • Extensive hands-on experience with public cloud AWS or GCP.
  • BS/MS degree in CS or equivalent.
  • AI Literacy /AI growth mindset.
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