Source description
About the role
Job description Roles and Responsibilities
Collaborating as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next-generation Big Data & Fast Data applications. Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Beam, Nifi, Storm, and Kafka on AWS Cloud Utilizing programming languages like Java, Python, and Open Source RDBMS and NoSQL databases. Utilizing Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, HBase. 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, Git, and Docker. Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Desired Candidate Profile
Minimum 1 year of professional work experience in data platforms such as HDP, Cloudera, EMR. At least 1 year of experience in open source programming languages for large-scale data analysis. At least 2 years of Java development for modern data engineering. At least 2+ years of experience working with Stream processing solutions on Kafka/Flink/Spark Streaming/Key-Value Stores. RoleOther Industry TypeSoftware Product Functional AreaAnalytics & Business Intelligence Employment TypeFull Time, Permanent Role CategoryOther Education UG :B.Tech/B.E. in Any Specialization
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