At Devx Staffing, we've spent years building deep expertise in Apache Spark recruiting. We understand the differences between Scala-native Spark engineers who design high-performance RDD and DataFrame transformations and tune JVM memory, PySpark developers who build ETL pipelines and model-serving workflows, Spark architects who plan cluster topology and integrations with YARN, Kubernetes, EMR or Dataproc, and streaming specialists who implement Structured Streaming, Kafka connectors and low-latency processing. That knowledge lets us evaluate candidates on practical skills—partitioning and shuffle avoidance, broadcast joins, Spark SQL optimization, checkpointing, and version migration—and match companies with talent whose experience aligns to their stack, data scale and operational constraints.