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.
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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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

