Big data engineering deals with volumes where ordinary tools stop working — distributed processing with Spark, streaming with Kafka, and storage designed around how the data will be read rather than written. Indian demand concentrates in banking, telecom and large consumer platforms that genuinely operate at that scale. Some of the older Hadoop ecosystem has been displaced by cloud-native and lakehouse platforms, so the practical skill set has shifted even though the title persists in job listings.