Principal Engineer - Data Platform

You will contribute to the design and development of scalable and highly available data platform systems, working closely with senior engineers and SRE teams. You would solve deep problems around performance, scalability for data systems. You would help scaling and operationalizing data systems working closely with SRE teams. You would be building these platforms and systems that will be used by other product engineering teams.

Qualifications

• Bachelor s or Master s degree in computer science
• 10+ years of hands-on software(backend) development experience - most of which should be in the data platform space involving distributed systems
• Deep exposure to Streaming Technologies like Flink, Spark Streaming, Kafka Streams etc
• Deep exposure to Big Data Technologies like Hadoop, Spark, Kafka
• Deep exposure to OLAP stores like Pinot, Druid, Clickhouse
• Must have worked with open source technologies in the data platform space
• Familiarity with document datastores such as MongoDB
• Exposure to scaling and operating production data systems at 10K+ QPS
• Deep exposure to JVM based languages like Java, Scala, Kotlin
• Preferred - open-source contributions to major apache projects in the data space(e.g. Apache Spark or Kafka)

Work Location

Skills Required

Java, Scala, Kotlin, Spark, Kafka, Hadoop