Source description
About the role
Building efficient storage for structured and unstructured data Transform and aggregate the data using data processor technologies Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, and Kafka on AWS Cloud Utilizing programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases and Cloud-based data warehousing services such as Redshift Using Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, and Cassandra Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation, and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git, and Docker .
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