1. Handson experience with the Hadoop ecosystem (HDFS, MapReduce, HBase, Hive, Scala, Spark, Kafka, Presto)
2. Build data pipelines and ETL using heterogeneous sources, you will build data ingestion from various source systems to Hadoop using Kafka, Flume, Sqoop, Spark Streaming etc.
3. Solid development automation skills. Must be very comfortable with reading and writing Scala, Python or Java code
📌 Big Data Sr Developer (India)
🏢 Clifyx
📍 India
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