Senior Java Big Data Developer with 8+ years building applications on Cloudera/Hadoop ecosystems using Spark and MapReduce. Responsible for designing performant Java (1.8+) solutions, data analysis of large datasets, unit testing (JUnit), and collaborating with/managing global technology teams. Preferred skills include Unix/Python scripting and familiarity with Hive, Impala, YARN, and Kafka.
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
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.



