The Role
Design and implement large-scale data applications using Java, Spark, and MapReduce within Cloudera/Hadoop ecosystems. Integrate Hive, Impala, YARN, and Kafka, perform data analysis, write tests (JUnit), use scripting, and manage global technology teams following industry best practices.
Summary Generated by Built In
Qualifications
- Minimum 8+ years of relevant experience in applications development
- Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce
- Java (core) 1.8 or above - Hands-on experience (advanced concepts of data structures, memory management and design patterns)
- Apache Spark - Hands on (preferable on Java spark)
- Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to Hive, Impala, Yarn, Kafka
- Good Data analysis and programing skills and understanding of large datasets (no sql joins)
- Good knowledge of Java and spark architecture and design principles
- Good experience in Junit/Testing frameworks
- Unix/Python shell scripting experience is a big plus
- Experience managing global technology teams
- Working knowledge of industry practices and standards
- Good communication skills
Skills Required
- Minimum 8+ years of relevant experience in applications development
- Expertise in Bigdata ecosystem (Cloudera Distribution) using Spark and MapReduce
- Java (core) 1.8 or above - Hands-on experience (advanced data structures, memory management, design patterns)
- Apache Spark - Hands on (preferably Java Spark)
- Good understanding of Hadoop (preferable Cloudera/CloudEra distribution); exposure to Hive, Impala, YARN, Kafka
- Good data analysis and programming skills and understanding of large datasets
- Good knowledge of Java and Spark architecture and design principles
- Experience with JUnit/testing frameworks
- Unix/Python shell scripting experience
- Experience managing global technology teams
- Working knowledge of industry practices and standards
- Good communication skills
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The Company