Full Time
Posted 7 months ago


  • Monitor Hadoop cluster for performance and capacity planning
  • Develop and implement data processing pipelines for different kinds of data sources, formats
    and content for our platform
  • Developing techniques to analyze and enhance both structured, semi-structured, unstructured
    and real time data
  • Work on Hadoop Distribution Platforms like Cloudera/Hortonworks
  • Configuration and management of security for Hadoop clusters
  • Develop, deploy, maintain & upgrade Big Data ecosystem components.
  • Stream Analytics preferably using Apache Kafka, Flume, Spark Streaming, Flink/Storm

Education and Skills

  • Bachelor’s Degree in Engineering or MCA
  • 2 years implementation or consulting experience in building large-scale big data systems
  • Hands on experience in real time ingestion of data into HDFS
  • Experience in HDFS sharding, replication, recovery, and performance optimizations.
  • Hands on experience of setting Hadoop cluster and using open source tools used with Hadoop
  • Experience in big data technologies such as Hadoop Hive, Sqoop, Map Reduce, Mongodb,
  • Cassandra and SQL based data stores.
  • Experience integrating data in Batch and real time fashion with multiple data sources
  • Good Programming expertise in Spark, Map Reduce, PIG with languages like Scala/Python/Java

Job Features

Job CategorySoftware Development

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